Download Listed - Department of Mathematics

CITATIONS
1.
Harald Kosch and Mario Dφller, Approximating the selectivity of multimedia
range queries, In Proceedings of the IEEE International Conference on Multimedia &
Expo, July 2005, Amsterdam (The Netherlands).
2.
Hyunjin Shin and Mia K. Markey, A machine learning perspective on the
development of clinical decision support systems utilizing mass spectra of blood
samples, Journal of Biomedical Informatics, Volume 39 , Issue 2 (April 2006), Pages:
227 - 248.
3.
Technical Report of SIMDAT Project no.: 511438, Data Grids for Process and
Product Development using Numerical Simulation and Knowledge Discovery, 2005.
4.
Alfio Massimiliano Gliozzo, Claudio Giuliano and Raffaella Rinaldi.
"Instance Filtering for Entity Recognition", in ACM SIGKDD Explorations, special
Issue on Natural Language Processing and Text Mining, 7(1), pp. 11-18, June 2005.
5.
Grinaldo Oliveira, Manoel Mendonça, ExperText: Uma Ferramenta de
Combinação de Múltiplos Classificadores Naive Bayes, 4th Ibero-American
Symposium on Software Engineering and Knowledge Engineering (JIISIC'04), pp.
317-332.
6.
Martin Constam, Dynamische Regelung inkrementeller Algorithmen unter
dem Einfluss von Concept Drifts, Diplomarbeit in Wirtschaftsinformatik, Institut fur
Informatik, Universitat Zurich.
7.
Edwige Fangseu Badjio and Francois Poulet, Dimension Reduction for Visual
Data Mining, Applied Stochastic Models and Data Analysis (ASMDA 2005), pp. 266275.
8.
Kang, P., Cho, S., Lee, H. (2004), Ensemble Technique for Data Imbalance
Problem, Korean Data mining Society Conference.
9.
A. Shahib, R Breitling and D. Gilbert, Franksum: New Feature Selection
Method for Protein Function Prediction, International Journal of Neural Systems, Vol.
15, No. 4 (2005) 259–275.
10.
Cory McKay, Rebecca Fiebrink, Daniel McEnnis, Beinan Li & Ichiro
Fujinaga - Ace: A Framework For Optimizing Music Classification, 6th International
Conference on Music Information Retrieval ISMIR 2005, 42-49.
11.
Cory McKay, Daniel McEnnis, Rebecca Fiebrink, Beinan Li & Ichiro
Fujinaga - ACE: A General-Purpose Classification Optimization Framework,
International Computer Music Conference 2005, poster paper.
12.
Sakkopoulos, E., Kanellopoulos, D. and Tsakalidis, A. (2006) ‘Semantic
mining and web service discovery techniques for media resources management’, Int.
J. Metadata, Semantics and Ontologies, Vol. 1, No. 1, pp.66–75.
13.
Lili Sun, Prakash P. Shenoy, Using Bayesian Networks for Bankruptcy
Prediction: Some Methodological Issues, Journal of Operational Research, 180(2),
2007, 738-753.
14.
Wilhelmiina Hamalainen, Descriptive and Predictive Modelling Techniques
for Educational Technology, Licentiate thesis 16th March 2006 Department of
Computer Science University of Joensuu.
15.
NASA Scientific and Technical Aerospace Reports, Volume 13 (1).
16.
Jason A. Wong, Combining Multiple Machine Learners Using Bureaucratic
and Democratic Meta-Models, ECE492Q Machine Learning Conference Papers.
November 26, 2005.
17.
Dimitris Kalles, Christos Pierrakeas, Analyzing Student Performance in
Distance Learning with Genetic Algorithms and Decision Trees, Applied Artificial
Intelligence, Volume 20, Issue 8, Oct 2006, Pages 655 - 674
18.
Thanasis Hadzilacos, Dimitris Kalles, Christos Pierrakeas, Michalis Xenos:
On Small Data Sets Revealing Big Differences. SETN 2006: 512-515.
19.
Boris Berecek, Redukcija Dimenzionalnosti Temeljena Na Svd-U I Algoritmi
Grupiranja Podataka, Diplomski Rad Br. 1552, Sveuciliste U Zagrebu Fakultet
Elektrotehnike I Racunarstva, Zagreb, Rujan 2005.
20.
D. Kalles and C. Pierrakeas. “Using Genetic Algorithms and Decision Trees
for a posteriori Analysis and Evaluation of Tutoring Practices based on Student
Failure Models”, 3rd IFIP Conference on Artificial Intelligence Applications and
Innovations, Athens, Greece, 2006.
21.
Arie Ben-David, Leon Sterling, Generating rules from examples of human
multiattribute decision making should be simple, Expert Systems with Applications,
Volume 31, Issue 2, August 2006, Pages 390-396.
22.
William Andreopoulos, Clustering Algorithms for Categorical Data, PhD
dissertation, Graduate Programme in Computer Science and Engineering, York
University, Toronto, Ontario, August 2006.
23.
Biswas, D., Narayanan, B., Sundararajan, R., Metrics for model selection in
consumer finance problems, Volume 3809 LNAI, 2005, Pages 1289-1294.
24.
Roy, S., Bhattacharyya, D.K., An approach to find embedded clusters using
density based techniques, Volume 3816 LNCS, 2005, Pages 523-535.
25.
McKay, C. 2005. Automatic music classification and similarity analysis. TRCourse Paper. Université de Montreal, Canada.
26.
Yi Li, Baochang Zhang, Shiguang Shan, Xilin Chen,Wen Gao. Bagging Based
Efficient Kernel Fisher Discriminant Analysis for Face Recognition. Proceeding of
International Conference on Pattern Recognition ICPR2006. (poster paper)
27.
Geraldo L. B. Ramalho, Fatima N. S. Medeiros, "Using Boosting to Improve
Oil Spill Detection in SAR Images," icpr , pp. 1066-1069, 2006.
28.
Razib M. Othman, Safaai Deris, Rosli M. Illias, Zalmiyah Zakaria, and Saberi
M. Mohamad. Automatic Clustering of Gene Ontology by Genetic Algorithm,
International Journal of Information Technology, Vol. 3(1), 2006, pp. 37-46
29.
ZHANG Zhen-ya, CHENG Hong-mei, Normalize TextCC's input vector
based on stereographic projection, JOURNAL OF HARBIN ENGINEERING
UNIVERSITY 2006 Vol.27 No.1 P.13-17.
30.
Reynolds, R.G. Bin Peng Alomari, R.S., Cultural Evolution of Ensemble
Learning for Problem Solving, Evolutionary Computation, 2006. CEC 2006, 11191126.
31.
Michael M. Groat, "Using Fuzzy K-Modes to Analyze Patterns of System
Calls for Intrusion Detection," Master of Science in Computer Science, The
Department of Mathematics and Computer Science California State University, East
Bay, 2005.
32.
Xuefeng Zhang, Peng Liu, Jinjin Fan, The Improvement of Naïve Bayesian
Classifier Based on the Strategy of Fuzzy Feature Selection, Sixth International
Conference on Intelligent Systems Design and Applications (ISDA'06) pp. 377-384.
33.
FP6-027026, K-Space ID4.1: State-of-the-art Report on Knowledge Assisted
Multimedia Analysis.
34.
Clodis Boscarioli, Leandro Augusto da Silva, Emílio Del Moral Hernandez,
Análise De Agrupamentos Utilizando Mapas Auto-Organizáveis Em Agricultura De
Precisão, 2 Congresso Brasileiro de Agricultura de Precisão, São Pedro, SP –
ESALQ/USP.
35.
Hämäläinen, T.H. Laine & E. Sutinen, Data mining in personalizing distance
education courses, Data Mining in E-Learning (book), Ed. Romero & Ventura,
WITPRESS, pp. 157-172 (2006).
36.
Zhenya, Z., Hongmei, C., Xufa, W., Research on stereographic projection and
it's application on feed forward neural network, Lecture Notes in Computer Science,
4221 pp. 89-92 (2006).
37.
Thanasis Hadzilacos, Dimitris Kalles, “On the software engineering aspects of
educational intelligence”, Lecture Notes in Computer Science, Volume 4252 LNAI II, 2006, Pages 1136-1143.
38.
Guan, J., Liu, D., Liu, S, Discrete particle swarm optimization and em hybrid
approach for naive bayes clustering, Lecture Notes in Computer Science, Volume
4233 LNCS - II, 2006, Pages 1164-1173.
39.
FP6-027026, K-Space ID4.4.1: State of the Art Report on Multimedia Mining.
40.
Semaan, G. S. ; Graca, A. A. ; Dias, C. R. . Descoberta de associações em
dados. Revista eletrônica da Faculdade Metodista Granbery,
http://www.granbery.edu.br/, 01 set. 2006.
41.
Juan Carlos Galeano Huertas, Seminario de Investigación I, Primer semestre
2006, Departamento de Ingeniería de Sistemas e Industrial de la Universidad Nacional
de Colombia - Sede Bogotá.
42.
Keeley Crockett, Zuhair Bandar, James O’Shea (2006), On Producing
Balanced Fuzzy Decision Tree Classifiers, IEEE International Conference on Fuzzy
Systems, Vancouver, BC, Canada July 16-21, 2006.
43.
Xinghua Hu, Bin Wu, "Automatic Keyword Extraction Using Linguistic
Features," icdmw, pp. 19-23, Sixth IEEE International Conference on Data Mining Workshops (ICDMW'06), 2006.
44.
LiangChi Wang, Classification Rule Discovery with Particle Swarm
Optimasation, Master Thesis, Department of Information Management, National
Kaohsiung First University of Science and Technology, 2007.
45.
R. Portugal and M. Carrasco, "Ensamble de Algoritmos Bayesianos con
Árboles de decisión: una alternativa de clasificación," in XVII Congreso Chileno de
Control Automático (ACCA2007) Universidad de la Frontera, Temuco, Chile, 2007.
46.
Jun Xu, Cost-sensitive Learning of Ranking for Information Retrieval, Ph.D.
in Computer Application and Technology in July 2006, Nankai University.
47.
Peter Vorburger, Abraham Bernstein, Entropy-based Detection of Real and
Virtual Concept Shifts, working paper, Department of Informatics, University of
Zurich
(http://www.ifi.unizh.ch/ddis/fileadmin/pubs/vorburger/unizh_entropy_workingpaper.
pdf).
48.
Balducelli, C., Bologna, S., Lavalle, L., Vicoli, G., Safeguarding information
intensive critical infrastructures against novel types of emerging failures, Reliability
Engineering & System Safety, Volume 92, Issue 9 , September 2007, Pages 12181229.
49.
Isler, Y., and Kuntalp, M., Combining Classical HRV Indices With Wavelet
Entropy Measures Improves to Performance in Diagnosing Congestive Heart Failure,
Computers in Biology and Medicine, Volume 37, Issue 10, October 2007, Pages
1502-1510
50.
Guan, J.-H., Liu, D.-Y., Jia, H.-Y., Yu, P., An effective clustering method
using a discrete particle swarm optimization algorithm-based hybrid approach,
Proceedings of the 2006 International Conference on Machine Learning and
Cybernetics 2006, art. no. 4028230, pp. 1114-1119.
51.
R. Portugal and M. Carrasco, "Ensamble de Algoritmos Bayesianos con
Árboles de decisión: una alternativa de clasificación," in XVII Congreso Chileno de
Control Automático (ACCA2007) Universidad de la Frontera, Temuco, Chile, 2007.
52.
Zhang, Z.-Y., Zhang, S.-G., Wang, X.-F., Document classification via TextCC
based on stereographic projection, Proceedings of the 2006 International Conference
on Machine Learning and Cybernetics 2006, art. no. 4028277, pp. 1368-1372.
53.
Koffi Bruno Yao, A comparison of clustering methods. February 2006, Master
Thesis, Department of Computer Science at the University of Copenhagen.
54.
Soler Ruiz, Vicenç, Lógica difusa aplicada a conjuntos imbalanceados:
aplicación a la detección del Síndrome de Down, PhD Thesis, Departament
D'arquitectura De Computadors I Sistemes Operatius, Universitat de Barcelona, 2007.
55.
Wang Tian-Bao, Zhu Zhong-Hua, An Effective Clustering Model Based on
Non-metric Distance, Information and Control, 2007, Vol.36, No.1, pp.15-20.
56.
M. Carrasco, R. Portugal, and B. Peralta, "Reconocimiento Biométrico de
Audio y Rostro: Un sistema viable de Identificación," in XVII Congreso Chileno de
Control Automático (ACCA2007) Universidad de la Frontera, Temuco, Chile., 2007.
57.
Santos, M.F., Cortez, P., Pereira, J., Quintela, H, Corporate bankruptcy
prediction using data mining techniques, WIT Transactions on Information and
Communication Technologies, Volume 37, 2006, Pages 349-357.
58.
Rapelang Marumo, Fareq Aldebrez, Model-based Data Clustering Guided by
Adaptive Neurofuzzy, International Control Conference (ICC2006) Glasgow,
Scotland, United Kingdom 30th August to 1st September 2006.
59.
Márcio Porto Basgalupp, Karin Becker, Duncan D. A. Ruiz Pontifícia
Universidade Católica do Rio Grande do Sul, A Study of Multi-Objective Fitness
Functions for a Feature Selection Genetic Algorithm, Proceedings of the Second
Workshop on Feature Selection for Data Mining: Interfacing Machine Learning and
Statistics in conjunction with the 2006 SIAM International Conference on Data
Mining, April 22, 2006, pp.123-130.
60.
Valnaide Gomes Bittencourt, Aplicacao de Tecnicas de Aprendizado de
Maquina no Reconhencimento de Classes Estruturais de Proteinas, Universidade
Federal do Rio Grande do Norte, Centro de Technologia, Programa de Pos-Graduacao
em Engenharia Eletrica, 2005.
61.
Fatima Al-Raisi, A Literature Survey of Computational Aspect of Voting
Systems, Computer Science Department B. Thomas Golisano College of Computing
and Information Sciences Rochester Institute of Technology, 2007.
62.
Liu Bo, Pan Jiuhui, Research of Classification Algorithm Based On Ant
Colony Optimization, Computer Applications and Software 2007 Vol.24, No.4 P.5053.
63.
C. Romero, S. Ventura, E. García. Data mining in course management
systems: Moodle case study and tutorial. Computers & Education, Volume 51, Issue
1, August 2008, Pages 368-384
64.
Zhongming Ma, Olivia R. Liu Sheng, Gautam Pant, A Network Approach to
Automatically Discovering Competitor Relationships from Business News, Technical
Report, David Eccles School of Business The University of Utah, 2007.
65.
Waralak V. Siricharoen, Ontologies for e-tourism, 4th WSEAS / IASME
International Conference on ENGINEERING EDUCATION (EE'07), Agios Nikolaos
Crete Island, 24-26 July 2007.
66.
Meng, J., Ma, W., Yan, L., Zhu, Y., Rule extraction method for text
classification based on PA and RS, Journal of Computational Information Systems,
Volume 3, Issue 3, March 2007, Pages 1307-1312.
67.
Félix Castro, Alfredo Vellido, Àngela Nebot, Francisco Mugica, Applying
Data Mining Techniques to e-Learning Problems, Book Title - Evolution of Teaching
and Learning Paradigms in Intelligent Environment, pp. 183-221, 2008.
68.
Kihoon Yoon and Stephen Kwek, A data reduction approach for resolving the
imbalanced data issue in functional genomics, Neural Computing & Applications,
Volume 16, Number 3 / May, 2007, Pages 295-306.
69.
Rahul J. Patil, Using ensemble and metaheuristics learning principles with
artificial neural networks to improve due date prediction performance, International
Journal of Production Research, Volume 46, Issue 21 November 2008 , pages 6009 6027.
70.
Hsu, Chung-Chian, Chin-Lung Chen and Yu-Wei Su, “Hierarchical Clustering
of Mixed Data based on Distance Hierarchy,” Information Sciences, Volume 177,
Issue 20, 15 October 2007, Pages 4474-4492.
71.
M. Kwiatkowska, Integrating Knowledge-Driven and Data-Driven
Approaches for the Derivation of Clinical Prediction Rules, PhD thesis, Simon Fraser
University, 2006.
Αθανασοπούλου, Ευαγγελία – Ελένη, Εφαρµογές της µηχανικής µάθησης
72.
στην κατηγοριοποίηση κειµένου, Μεταπτυχιακή Εργασία, Τµήµα Μηχανικών Η/Υ
και Πληροφορικής (Μ∆Ε), Πανεπιστήµιο Πατρών, 2006.
73.
Yang, Y., Webb, G.I., Cerquides, J., Korb, K., Boughton, J. and Ting, K.M.
To Select or To Weigh: A Comparative Study of Linear Combination Schemes for
SuperParent-One-Dependence Ensembles. IEEE Transaction on Knowledge and Data
Engineering, Volume: 19, Issue: 12, On page(s): 1652-1665
74.
Das, R.; Sarmah, S.; Bhattacharyya, D. K., A Distributed Clustering
Technique for Intrinsic Cluster Detection, International Conference on Advanced
Computing and Communications, ADCOM 2006, 20-23 Dec. 2006, Mangalore, India,
Page(s):117 – 122.
75.
Nahm, Sang Duck, A Study on Corporate Bankruptcy and Relationship
Banking - During The Period of Economic Crisis, Msc Thesis, Department of
Economics, Major in Economic Policy, Graduate School of Chung-Ang University,
2006.
76.
Shu-Xue Zou, Yanxin Huang, Yan Wang, Chengquan Hu, Yanchun Liang,
Chunguang Zhou: A Novel Method for Prediction of Protein Domain Using DistanceBased Maximal Entropy, Advances in Neural Networks – ISNN 2007, Lecture Notes
in Computer Science, 4492, pp. 1264-1272.
77.
Vicenç Soler and Marta Prim, Rectangular Basis Functions Applied to
Imbalanced Datasets, Lecture Notes in Computer Science, ICANN 2007, Volume
4668/2007, pp. 511-519.
78.
Zhenya Zhang, Hongmei Cheng, "Research on delta-radius Based
Generalization of Corner Classification," icnc, pp. 275-279, Third International
Conference on Natural Computation (ICNC 2007) Vol I, 2007
79.
Wilhelmiina Hämäläinen and Mikko Vinni, Comparison of Machine Learning
Methods for Intelligent Tutoring Systems, Intelligent Tutoring Systems 2006, Lecture
Notes in Computer Science, Volume 4053/2006, pp. 525-534.
80.
GuangHui Yan, ZhanHuai Li, Using Cluster Similarity to Detect Natural
Cluster Hierarchies, 4th International Conference on Fuzzy Systems and Knowledge
Discovery (FSKD'07), August 24-27, Haikou, China.
81.
Larry Shoemaker, Robert E. Banfield, Lawrence O. Hall, Kevin W. Bowyer,
W. Philip Kegelmeyer, Using classifier ensembles to label spatially disjoint data,
Information Fusion, 2008.
82.
Yue, Dianmin; Wu, Xiaodan; Wang, Yunfeng; Li, Yue; Chu, Chao-Hsien, A
Review of Data Mining-Based Financial Fraud Detection Research, International
Conference on Wireless Communications, Networking and Mobile Computing, 2007.
WiCom 2007, 21-25 Sept. 2007 Page(s): 5514 – 5517.
83.
Joel Hickman, Gina Hope, Taehyung Wang, Data Attribute Selection Using
Genetic Programming, International Conference on Information Society (2007), pp.
357-364.
84.
Yaohua Chen, Yiyu Yao, A multiview approach for intelligent data analysis
based on data operators, Volume 178 , Issue 1 (January 2008), Pages: 1-20.
85.
Mario Doller, The Mpeg-7 Multimedia Database System (Mpeg-7 Mmdb),
Dissertation, Universitat Klagenfurt, 2004.
86.
Geng Deng, SIMULATION-BASED OPTIMIZATION, Doctor of Philosophy
(Mathematics and Computation in Engineering) at the University of WISCONSIN –
MADISON, 2007.
87.
Danica D. Damljanović, Inteligentni Web portal u oblasti turizma, Univerzitet
u Beogradu Fakultet organizacionih nauka, Beograd, 2007.
88.
Panayides Andreas, Cluster Analysis: Overview, Algorithms, and
Comparison, MSc in Computing and Internet Systems, School of Physical Sciences &
Engineering, Department of Computer Science, King’s College London, University of
London, 2005.
89.
Colin Stuart Carmichael, Modelling student performance in a tertiary
preparatory course, Master of Philosophy at the University of Southern Queensland,
November 2006.
90.
Vasileios L. Georgiou, Philipos D. Alevizos and Michael N. Vrahatis, Novel
Approaches to Probabilistic Neural Networks Through Bagging and Evolutionary
Estimating of Prior Probabilities, Neural Processing Letters, 2008.
91.
Matjaž Gams and Tea Tušar, Intelligent High-Security Access Control,
Informatica 31 (2007) 469-477.
92.
Addissson Salazar, Nancy Vargas, Jorge Gosálbez , Ignacio Bosch, Deriving
managerial knowledge from an educational web-based information system,
Proceedings of European and Mediterranean Conference on Information Systems
2007 (EMCIS2007), June 24-26 2007, Polytechnic University of Valencia, Spain.
93.
Li-Fei Chen, Qingshan Jiang and Shengrui Wang, "A Hierarchical Method for
Determining the Number of Clusters", to appear in Journal of Software, in Chinese.
94.
Hyunjin Shin, Algorithms for Biomarker Identification Utilizing MALDI TOF
Mass Spectrometry, Doctor of Philosophy, The University of Texas at Austin,
December 2006.
95.
Carbonaro, A., Ferrini, R., Personalized Information Retrieval in a Semanticbased Learning Environment, Social Information Retrieval Systems, Ed. Dion Goh &
Schubert Foo, pp. 270-288.
96.
Mukhopadhyay, Anirban, Maulik, Ujjwal, Bandyopadhyay, Sanghamitra,
Multiobjective Genetic Fuzzy Clustering of Categorical Attributes, 10th International
Conference on Information Technology, (ICIT 2007), 17-20 Dec. 2007, pp. 74-79.
97.
Kriger, C., Tzoneva, R., Neural networks for prediction of wastewater
treatment plant influent disturbances, AFRICON 2007, 26-28 Oct. 2007, pp. 1-7.
98.
Salazar, Addisson, Serrano, Arturo, Vergara, Luis, Non-Parametric ICA
reveals Learning Styles in Education Activities through the Web, IEEE Workshop on
Machine Learning for Signal Processing, 27-29 Aug. 2007, pp. 259 - 264.
99.
Bodea, Constanta-Nicoleta, An Innovative System for Learning Services in
Project Management, IEEE International Conference on Service Operations and
Logistics, and Informatics, SOLI 2007, 27-29 Aug. 2007, pp. 1-5.
100. Stylianou, Constantinos Andreou, Andreas S., A Hybrid Software Component
Clustering and Retrieval Scheme Using an Entropy-Based Fuzzy k-Modes Algorithm,
19th IEEE International Conference on Tools with Artificial Intelligence, 29-31 Oct.
2007, pp. 202-209.
101. Danica D. Damljanović, Inteligentni Web portal u oblasti turizma, Univerzitet
u Beogradu Fakultet organizacionih nauka, Beograd, 2007.
102. Ya-Ju Fan, Cem Iyigun, and W. Art Chaovalitwongse, Recent Advances in
Mathematical Programming for Classification and Cluster Analysis, Centre de
Recherches Mathematiques CRM Proceedings and Lecture Notes Volume 45, 2008,
pp. 67-93.
103. Cem Iyigun, Probabilistic Distance Clustering, Phd Thesis, New Brunswick,
New Jersey, January, 2008.
104. Leonardo Ponte Daister, Estrategias para desenvolvimento de sistemas de
multiplos classificdores em aprendizado supevisionado, Master Thesis, Rio de
Janeiro, Brasil, 2007.
105. V. Garcia, J. Sanchez, R. Mollineda, R. Alejo, J. Sotoca, The class imbalance
problem in pattern classification and learning, CEDI 2007, 11-14 September, Spain.
106. Jose Pereira, Miguel Dominguez, Jose Ocejo, Modelos de Previsao do
Fracasso Empresarial: Aspectos a considerer, Revista de Estudos Politecnicos,
Polytechnical Studies Review, 2007, vol IV (7), pp. 111-148, ISSN: 1645-9911.
107. Ruhaidah Binti Samsudin, Sagaai Bin Deris, Muhamad Razib Bin Othman,
Rosli Bin Md Illias, Safie Bin Mat Yatimthe, DEVELOPMENT OF SEMANTIC
META-DATABASE: AN ONTOLOGY BASED SEMANTIC INTEGRATION OF
BIOLOGICAL DATABASES, Jabatan Kejuruteraan Perisian, Fakulti Sains
Komputer Dan Sistem Maklumat, Universiti Teknologi Malaysia, RESEARCH VOT
NO: 74289, 2007.
108. Vu HOANG, Nguyen NGUYEN, Dien DINH, Nigel COLLIER, Topic-based
Vietnamese News Document Filtering in the BioCaster Project, Sixth IEEE
International Conference on Advanced Language Processing and Web Information
Technology, 2007, pp. 224-229.
109. Mustafa Idrissi, ADDRESS BLOCK SEGMENTATION USING
ENSEMBLE-CLUSTERING TECHNIQUES, Media & Knowledge Engineering
Faculty of Electrical Engineering, Mathematics and Computer Science, Delft,
February 2008.
110. Danica D. Damljanović, Inteligentni Web portal u oblasti turizma, Univerzitet
u Beogradu Fakultet organizacionih nauka, Beograd, 2007.
111. Lifei Chen, Yanfang Ye, and Qingshan Jiang, A New Centroid-Based
Classifier for Text Categorization, IEEE 22nd International Conference on Advanced
Information Networking and Applications – Workshops, (WAINA.2008.12) pp. 12171222.
112. Masanori Kawakita, Shinto Eguchi, Boosting method for local learning in
statistical pattern recognition, To appear in Neural Computation, 2008
113. A. Salazar, L. Vergara, Knowledge Discovery from E-learning Activities,
Advances in E-Learning, Idea Group, 2008, ISBN: 1599074756X.
114. YAN Guang-Hui, LI Zhan-Huai, DANG Jian-Wu, Finding Natural Cluster
Hierarchies Based on MultiFractal, Journal of Software, Vol.19, No.6, June 2008,
pp.1283−1300.
115. Mira Trebara, Nigel Steele, Application of distributed SVM architectures in
classifying forest data cover types, Computers and Electronics in Agriculture 63 (2),
pp. 119-130.
116. PhD. Eng. Al. Epureanu, Drd. Eng. F. Buruiana, Drd. Eng. S. Ciuntu, Drd.
Eng. F. Susac, Drd. Eng. A. Tofan, Algorithm for Economical Characteristics
Identification a Machining System, THE ANNALS OF “DUNĂREA DE JOS”
UNIVERSITY OF GALAłI FASCICLE V, TECHOLOLOGIES IN MACHINE
BUILDING, ISSN 1221-4566, 2007, pp.135-140.
117. Gints Jekabsons, Ensembling Adaptively Constructed Polynomial Regression
Models, PROCEEDINGS OF WORLD ACADEMY OF SCIENCE, ENGINEERING
AND TECHNOLOGY, VOLUME 28, APRIL 2008, ISSN 1307-6884, pp. 162-167.
118. Fernando Bação & Victor Lobo, Fundamentals of data preparation and preprocessing, UNIVERSIDADE NOVA DE LISBOA, INSTITUTO SUPERIOR DE
ESTATÍSTICA E GESTÃO DE INFORMAÇÃO.
119. B.C. Nicoleta, Ontology-based Learning in Project Management, Proc. Of the
6th Conference on E-learning: ECEL 2007, pp. 119-127.
120. Gints Jekabsons, Ensembling Adaptively Constructed Polynomial Regression
Models, International Journal of Intelligent Technology, Volume 3 (2008), Number 2,
pp. 56-61.
121. G. Schwarz, M. Datcu, Image Information Mining: Perspectives seen by DLR,
ESA-EUSC 2008: Image Information Mining: pursuing automation of geospatial
intelligence for environment and security, ESRIN, Frascati (Italy), Conference: March
4-6, 2008
122. Jolita Bernatavičienė, VIZUALIOS ŽINIŲ GAVYBOS METODOLOGIJA IR
JOS TYRIMAS, Daktaro disertacija, Technologijos mokslai, informatikos inžinerija
(07T), VILNIAUS GEDIMINO TECHNIKOS UNIVERSITETAS MATEMATIKOS
IR INFORMATIKOS INSTITUTAS.
123. Rocío Alaiz-Rodríguez, Local Decision Bagging of Binary Neural Classifiers,
Lecture Notes in Computer Science, Volume 5032/2008, pp. 1-12.
124. Thomas Delavallade, Evaluation des risques de crise, appliquée à la détection
des conflits armés intra-étatiques, Université Pierre et Marie Curie - Paris VI (200712-06), Bernadette Bouchon-Meunier (Dir.).
125. Raul Benites Paradeda, Utilizando Pesos estáticos e dinâmicos em sistemas
multi-classificadores com diferentes níveis de diversidade, Msc in Department of
Informatics, Natal, Julho de 2007
126. Márcio Porto Basgalupp, Algoritmos genéticos para seleção de atributos em
problemas de classificação de processos de negócio, Porto Alegre, Pontifícia
Universidade Católica do Rio Grande do Sul, Faculdade de Informática, Programa de
Pós-Graduação em Ciência da Computação Janeiro de 2007
127. Chumki Basu, Hui Cheng, Darren Butler, Mining Spatial Associations with
Limited Sensory Information, Spatial Cognition & Computation, Volume 8, Issue 1 &
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128. Luca Vanin, Stefano Castelli, Alessandro Pepe, Loredana Additando, An
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492. Janecek, Andreas (2009) Efficient feature reduction and classification
methods. Dissertation, Universität Wien. Fakultät für Informatik, BetreuerIn:
Gansterer, Wilfried
493. Bankat Madhavrao Patil , Ramesh C. Joshi , Durga Toshniwal and
Siddeshwar Biradar, A New Approach: Role of Data Mining in Prediction of Survival
of Burn Patients, Journal of Medical Systems 35 (6) , pp. 1531-1542
494. Hsin-Hua Chen, Ping-Feng Pai, Ying-Zhieh Cho, Fong-Chuan Lee, Ja-Chih
Fu, An improved support vector machines model in medical data analysis,
International Journal of Mathematical Modelling and Numerical Optimisation, Issue:
Volume 1, Number 3 / 2010, Pages: 168 – 184.
495. L.S. Affendey, I.H.M. Paris, N. Mustapha, Md. Nasir Sulaiman and Z. Muda,
Ranking of Influencing Factors in Predicting Students' Academic Performance,
Information Technology Journal, 2010ISSN 1812-5638
496. Elaine Biddiss, Simon Brownsell and Mark S Hawley, Predicting need for
intervention in individuals with congestive heart failure using a home-based telecare
system, J Telemed Telecare 2009;15:226-231 , doi:10.1258/jtt.2009.081203
497. Sven S. Groth, Jan Muntermann, "Discovering Intraday Market Risk
Exposures in Unstructured Data Sources: The Case of Corporate Disclosures," hicss,
pp.1-10, 2010 43rd Hawaii International Conference on System Sciences, 2010
498. Philippe du Jardin, Predicting bankruptcy using neural networks and other
classification methods: the influence of variable selection techniques on model
accuracy, Neurocomputing, accepted for publication.
499. B. Yıldız and B. Ergenç (Turkey), Comparison of Two Association Rule
Mining Algorithms without Candidate Generation, Proceedings of the 10th IASTED
International Conference on Artificial Intelligence and Applications, AIA 2010 , pp.
450-457.
500. Allan Mørk Christensen, Martin Midtgaard, Jeppe Ravn Christiansen, Lars
Vinther, Reinforcement Learning in RTS Games, Machine Intelligence, Aalborg
University: Software Engineering, SW9, Fall 2009
501. M. Hogo, Evaluation of E-Learners Behaviour using Different Fuzzy
Clustering Models: A Comparative Study, International journal of Computer Science
and Information Security, Vol. 7(2), 2010.
502. Urszula Markowska-Kaczmar, Halina Kwasnicka, Mariusz Paradowski,
Intelligent Techniques in Personalization of Learning in e-Learning Systems.
Computational Intelligence for Technology Enhanced Learning, pp. 1-23, 2010
503. Λούφη Μαρία-Εριάλντα, ∆ΥΝΑΜΙΚΟΙ ∆ΙΑΛΟΓΟΙ ΣΥΣΤΗΜΑΤΩΝ
ΣΥΣΤΑΣΕΩΝ: ΕΦΑΡΜΟΓΗ ΣΤΗΝ ΗΛΕΚΤΡΟΝΙΚΗ ∆ΙΑΚΥΒΕΡΝΗΣΗ,
∆ΙΠΛΩΜΑΤΙΚΗ ΕΡΓΑΣΙΑ, ∆ΙΑΤΜΗΜΑΤΙΚΟ ΠΡΟΓΡΑΜΜΑ
ΜΕΤΑΠΤΥΧΙΑΚΩΝ ΣΠΟΥ∆ΩΝ ΣΤΑ ΠΛΗΡΟΦΟΡΙΑΚΑ ΣΥΣΤΗΜΑΤΑ (M.I.S.),
Θεσσαλονίκη, Ιανουάριος 2010.
504. Yen-Chung, Lai, Develop A Yield Enhancement Framework based on Main
Branch Decision Tree Algorithm for Mining Semiconductor Data – An Empirical
Study of A DRAM Fab, Thesis, GH000923804, 2005
505. MATOS, P. F.; LOMBARDI, L. O.; CIFERRI, R. R.; PARDO, T. A. S.;
CIFERRI, C. D. A.; VIEIRA, M. T. P. Relatório Técnico "Conceitos sobre
Aprendizado de Máquina". São Carlos: Universidade Federal de São Carlos, 2009, p.
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506. Zuccaro, Cataldo, Classification and prediction in customer scoring, Journal of
Modelling in Management, Volume 5, Number 1, 2010 , pp. 38-53(16)
507. Hao H Zhang, Robert R Meyer, Leyuan Shi, Warren D D'Souza, The
minimum knowledge base for predicting organ-at-risk dose–volume levels and planrelated complications in IMRT planning, Physics in Medicine and Biology, 55 (7),
p.1935-1947, Apr 2010
508. Anupriya Rajkumar, Dr.A.Chitra, Paraphrase Recognition using Neural
Network Classification, 2010 International Journal of Computer Applications (0975 8887), Volume 1 – No. 29
509. Sibil, A., Godin, N., Mili M., Fantozzi G., Optimasation de la segmentation de
donnees d’ emission accoustic a l’ aide d’ un algorithme genetique, 10eme Congres
Francais d’ Accoustic, Lyon, Avril 12-16 2010.
510. Mofreh A. Hogo, Evaluation of E-Learning Systems based on Fuzzy
Clustering Models and Statistical Tools, Expert Systems with Applications, 37, 10,
(Oct. 2010), 6891-6903.
511. David R. Pontin, Factors influencing the occurrence of stinging jellyfish
(Physalia spp.) at New Zealand beaches, Doctor of Philosophy at Lincoln University,
2009
512. V.Umarani, Dr.M.Punithavalli, Sampling based Association Rules Mining- A
Recent Overview, (IJCSE) International Journal on Computer Science and
Engineering, Vol. 02, No. 02, 2010, 314-318
513. David R. Pontin, Factors influencing the occurrence of stinging jellyfish
(Physalia spp.) at New Zealand beaches, Doctor of Philosophy at Lincoln University,
2009
514. Khine Khine Zin, Hidden Markov model with rule based approach for part of
speech tagging of Myanmar language, December 2009 CIT'09: Proceedings of the
3rd International Conference on Communications and information technology
515. Βήττας Ιωάννης, Κατασκευή συστήµατος αναγνώρισης κακόβουλων χρηστών
στο διαδίκτυο, ∆ιπλωµατική εργασία, Τµήµα Ηλεκτολόγων Μηχανικών,
Πανεπιστήµιο Πατρών, 2009.
516. Jan Carlo Barca, New Multicolour Illuminated Contour-based Markers and
their use in Motion Capture, Doctor of Philosophy in the Berwick School of
Information Technology, Monash University, 2010.
517. Βασίλειος Λ. Γεωργίου, Στατιστική και Υπολογιστική Νοηµοσύνη,
Dιδακτορική Dιατριβή, Πανεπιστήµιο Πατρών, Dιατµηµατικό Πρόγραµµα
Μεταπτυχιακών Σπουδών, «Μαθηµατικά των Υπολογιστών και των Αποφάσεων»,
Νοέµβριος 2008.
518. Ms. G. Nathiya, Mrs. S. C. Punitha, Dr. M. Punithavalli, An Analytical Study
on Behavior of Clusters Using K Means, EM and K* Means Algorithm, (IJCSIS)
International Journal of Computer Science and Information Security, Vol. 7, No. 3,
March 2010
519. Amelia Zafra Gomez, Modelos de programacion genetica gramatical para
aprendizaje con multiples instancias, PhD thesis, University of Granada, 2009.
520. Rakhi Garg P. K. Mishra, Parallel Association Rule Mining on Heterogeneous
System, International Journal of Computer Applications, Number 14 - Article 17,
2010
521. Shuo Wang, Class Imbalance Learning, RSMG Progress Report 4 academic
year 2008/2009, University of Birmingham, School of Computer Science
522. Amna Ali, Umer Khan, Ali Tufail, Minkoo Kim, "Analyzing Potential of
SVM Based Classifiers for Intelligent and Less Invasive Breast Cancer Prognosis,"
pp. 313-319, 2010 Second International Conference on Computer Engineering and
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523. Omary, Z., Mtenzi, F., Dataset threshold for the performance estimators in
supervised machine learning experiments, 2009 International Conference for Internet
Technology and Secured Transactions, ICITST 2009 , art. no. 5402500
524. Kurt Weissgerber, Developing an Effective and Efficient Real Time Strategy
Agent for Use as a Computer Generated Force, THESIS, DEPARTMENT OF THE
AIR FORCE, AIR UNIVERSITY
525. Mansouri, Rahman; Saraee, Mohamad; Amirfattahi, Rasoul; Application of
Data Mining in Predicting Cell Phones Subscribers Behavior Employing the Contact
Pattern, 2010 International Conference on Data Storage and Data Engineering
(DSDE), Page(s): 63 - 68.
526. TIANYI WU, A FRAMEWORK FOR PROMOTION ANALYSIS IN
MULTI-DIMENSIONAL SPACE, Doctor of Philosophy in Computer Science in the
Graduate College of the University of Illinois at Urbana-Champaign, 2010
527. Gonçalo Jorge Morais da Costa, Nuno Sotero Alves Silva and Piotr Pawlak,
Network tourism: a fallacy of location privacy!, ETHICOMP-2010.
528. Philippe du Jardin, PRÉVISION DE LA DÉFAILLANCE ET RÉSEAUX DE
NEURONES :L’APPORT DES MÉTHODES NUMÉRIQUES DE SÉLECTION DE
VARIABLES, UNIVERSITÉ DE NICE – SOPHIA-ANTIPOLIS, Thèse Pour
l’obtention du titre de Docteur en Sciences de Gestion
529. Sergio Valero Orea, APLICACIÓN DE TÉCNICAS DE MINERÍA DE
DATOS PARA PREDECIR DESERCIÓN, Universidad Tecnológica de Izúcar de
Matamoros
530. Zin, K.K., Thein, N.L., Part of speech tagging for Myanmar using hidden
Markov model,
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Current Trends in Information Technology, CTIT 2009 , art. no. 5423133, pp. 103108
531. Zhu, X., Wang, J., Yan, H., Wu, S., Research and application of the improved
algorithm C4.5 on decision tree, 2009 Proceedings of the International Symposium on
Test and Measurement 2, art. no. 5413078, pp. 184-187
532. Yang, Xia; Dong, Hongbin; Zhang, Haiyu; Naive Bayes Based on Estimation
of Distribution Algorithms for Classification, 2009 1st International Conference on
Information Science and Engineering (ICISE), pp.908-911, 26-28 Dec. 2009
533. Mahmoud, E.-S.; Calvert, D.; , "Auto-calibration of Support Vector Machines
for detecting disease outbreaks," ), 2009 IEEE Toronto International Conference
Science and Technology for Humanity (TIC-STH) pp.112-117, 26-27 Sept. 2009
534. Wang, Suozhu; Xu, Chunjie; Sun, Minghui; , "Research on the System Model
of Government Knowledge Management Based on Multi-Agent," 2009 1st
International Conference on Information Science and Engineering (ICISE), , pp.30483051, 26-28 Dec. 2009.
535.
Baumgartner, Dustin; Serpen, Gursel; Fast Preliminary Evaluation of New
Machine Learning Algorithms for Feasibility, 2010 Second International Conference
on Machine Learning and Computing (ICMLC), Publication Year: 2010 , Page(s):
113 – 115
536.
Jayalskshmi, T.; Santhakumaran, A.; Impact of Preprocessing for Diagnosis
of Diabetes Mellitus Using Artificial Neural Networks, 2010 Second International
Conference on Machine Learning and Computing (ICMLC), Publication Year: 2010 ,
Page(s): 109 – 112
537. Cory McKay, Automatic Music Classification with jMIR, PhD thesis, Music
Technology Area, Department of Music Research, Schulich School of Music, McGill
University, Montreal, January 2010
538. Qinglei Zhang, Gongzhu Hu, Wenying Feng, Design and Performance
Evaluation of a Machine Learning-Based Method for Intrusion Detection, Software
Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing
2010, Page - 69 – 83.
539. Si Chen, Gongde Guo, Lifei Chen, "A New Over-Sampling Method Based on
Cluster Ensembles," waina, pp.599-604, 2010 IEEE 24th International Conference on
Advanced Information Networking and Applications, 2010
540. Si Chen, Gongde Guo, Lifei Chen, "A New Over-Sampling Method Based on
Cluster Ensembles," waina, pp.599-604, 2010 IEEE 24th International Conference on
Advanced Information Networking and Applications, 2010
541. Kuusela, M., Lämsä, J.W., Malmi, E., Mehtälä, P., Orava, R., Multivariate
techniques for identifying diffractive interactions at the LHC, 2010 International
Journal of Modern Physics A 25 (8), pp. 1615-1647
542. YIN Jian-Jan WANG, Le. Parallel k-means optimised by vertical dataset
division. Computer Engineering and Applications, 2010, 46(15): 127-131.
543. Garcia-Moral, A. I.; Solera-Urena, R.; Pelaez-Moreno, C.; Diaz-de-Maria, F.; ,
"Data Balancing for Efficient Training of Hybrid ANN/HMM Automatic Speech
Recognition Systems," IEEE Transactions on Audio, Speech, and Language
Processing, , no.99, doi: 10.1109/TASL.2010.2050513
544. Al-Aidaroos, Khadija Mohammad; Bakar, Azuraliza Abu; Othman, Zalinda;
Naïve bayes variants in classification learning, International Conference on
Information Retrieval & Knowledge Management, (CAMP), 2010, Publication Year:
2010 , Page(s): 276 – 281
545. Ahmad Taherkhani, Recognizing Sorting Algorithms with the C4.5 Decision
Tree Classifier, 18th IEEE International Conference on Program Comprehension,
2010, pp. 72- 75.
546. Zhen Xionga; Yun Zhanga, A critical review of image registration methods,
International Journal of Image and Data Fusion, Volume 1, Issue 2 June 2010 , pages
137 – 158
547. Zlatko J. Kovačić, Early Prediction of Student Success: Mining Students
Enrolment Data, Proceedings of Informing Science & IT Education Conference
(InSITE) 2010
548. H.Zareipour, A. Janjani, H. Leung, A. Motamedi, A. Schellenberg,
"Classification of Future Electricity Market Prices", IEEE Transactions on Power
Systems, 2010, to appear.
549. S.L. Ting, W.M. Wang, S.K. Kwok, Albert H.C. Tsang, W.B. Lee, RACER:
Rule-Associated CasE-based Reasoning for Supporting General Practitioners in
Prescription Making, Expert Systems with Applications, In Press, Accepted
Manuscript, Available online 2 June 2010
550. Jerome Malitz, Seth Malitz, Addendum to: An Approach to Hierarchical
Clustering via Level Surfaces and Convexity, Intelligent Information Management,
2010, 2, 299-305
551. Yunjiao Xue, Hamada H. Ghenniwa, Weiming Shen, Instance-based Domain
Ontological View Creation towards Semantic Integration, Expert Systems with
Applications, In Press, Accepted Manuscript, Available online 1 June 2010
552. S.A.Sahaaya Arul Mary and M.Malarvizhi, Improving Web Navigation
Technique usingWeighted Order Representation, International Journal of Research
and Reviews in Computer Science (IJRRCS), Vol. 1, No. 2, June 2010
553. Pradeep Chouksey, Juhi Singh, R.S. Thakur, R.C. Jain, Frequent Pattern
Mining using Candidate Generation approach with Single Scan of Database,
Symposium on Progress in Information & Communication Technology 2009, pp. 4651.
554. T. Ryan Hoens and Nitesh V. Chawla, Generating Diverse Ensembles to
Counter the Problem of Class Imbalance, M.J. Zaki et al. (Eds.): PAKDD 2010, Part
II, LNAI 6119, pp. 488–499, 2010.
555. Nichnan Kittiphattanabawon, Thanaruk Theeramunkong, Ekawit
Nantajeewarawat, Exploration of Document Relation Quality with Consideration of
Term Representation Basis, Term Weighting and Association Measure, Intelligence
and Security Informatics, pp. 126-139, 2010.
556. Mohammad Hassan Falakmasir, Jafar Habibi, Using Educational Data Mining
Methods to Study the Impact of Virtual Classroom in E-Learning, EDM2010, The
Third International Conference on Educational Data Mining
557. Cristobal Romero, Jose Raul Romero, Jose Maria Luna and Sebastián
Ventura, Mining Rare Association Rules from e-Learning Data, EDM2010, The Third
International Conference on Educational Data Mining, pp. 171-180
558. Eder Daniel Corvalão, Classificação de Contribuintes: um modelo em duas
fases, TESE DE DOUTORADO, UNIVERSIDADE FEDERAL DE SANTA
CATARINA DEPARTAMENTO DE ENGENHARIA DE PRODUÇÃO E
SISTEMAS PROGRAMA DE PÓS-GRADUAÇÃO EM ENGENHARIA DE
PRODUÇÃO, Florianópolis, Setembro de 2009.
559. Andrew French, Target recognition techniques for multifunction phased array
radar, Doctor of Philosophy of the University College London, January 2010
560. Thangamani.M, Ontology Based Fuzzy Document Clustering Scheme,
Modern Applied Science Vol. 4, No. 7; July 2010, pp. 148-156.
561. N.C.Mahanti Kanhaiya Lal., Mining Association Rules in Large Database by
Implementing Pipelining Technique in Partition Algorithm. International Journal of
Computer Applications 2(4):33–39, June 2010. Published By Foundation of
Computer Science
562. Safaa M. Bedawi and Mohamed S. Kamel, Segmentation of Very High
Resolution Remote Sensing Imagery of Urban Areas Using Particle Swarm
Optimization Algorithm, Lecture Notes in Computer Science, Volume 6111/2010, 8188.
563. Cristobal Romero, Pedro G. Espejo, Amelia Zafra, Jose Raul Romero,
Sebastian Ventura, Web usage mining for predicting final marks of students that use
Moodle courses, Computer Applications in Engineering Education, 2010
564. Aabid Shariff, Joshua Kangas, Luis Pedro Coelho, Shannon Quinn, and Robert
F. Murphy, Automated Image Analysis for High-Content Screening and Analysis,
Journal of Biomolecular Screening 15 (7), pp. 726-734.
565. Ahmad Taherkhani, Ari Korhonen, Lauri Malmi, Recognizing Algorithms
Using Language Constructs, Software Metrics and Roles of Variables: An Experiment
with Sorting Algorithms, The Computer Journal ,Advance Access published May 31,
2010
566. Danuta Zakrzewska, Building Group Recommendations in E-Learning
Systems, Lecture Notes in Computer Science, Volume 6070/2010, 391-400
567. Sergios Theodoridis, Konstantinos Koutroumbas, Pattern recognition,
Academic Press, 2009.
568. S.I. Pshenichny, BUILDING BAYESIAN NET FOR BANK’S
RELIABILITY ESTIMATION, Postgraduate student, TR Finance academy under the
Government of the Russian Federation.
569. Kiruthika, A Review of Supervised and Unsupervised Learning Techniques
of Artificial Neural Network from Statistical Perspective, International Journal of
Statistics and Systems Year : 2010, Volume : 5, Issue : 2, Print ISSN : 0973-2675.
570. Augusto, D. A., Barbosa, H. J., and Ebecken, N. F. 2010. Coevolutionary
multi-population genetic programming for data classification. In Proceedings of the
12th Annual Conference on Genetic and Evolutionary Computation (Portland,
Oregon, USA, July 07 - 11, 2010). GECCO '10. ACM, New York, pp. 933-940
571. Kaipa, Bhargavi; Robila, Stefan A.;, Statistical steganalyis of images using
open source software, Applications and Technology Conference (LISAT), 2010 Long
Island Systems, Digital Object Identifier: 10.1109/LISAT.2010.5478333, Publication
Year: 2010 , Page(s): 1 – 5
572. Umarani, V.; Punithavalli, M.; On developing an effectual progressive
sampling-based approach for association rule discovery, The 2nd IEEE International
Conference on Information Management and Engineering (ICIME), 2010, Publication
Year: 2010 , Page(s): 8 – 12
573. Tucker, C.S., Hoyle, C., Kim, H.M., Chen, W., A comparative study of dataintensive demand modeling techniques in relation to product design and development,
Proceedings of the ASME International Design Engineering Technical Conferences
and Computers and Information in Engineering Conference 2009, DETC2009 5
(PART A), pp. 371-383
574. S. Santhosh Baboo, I. Kadar Shereef, Applicability of Data MiningTechniques
for Climate Prediction – A Survey Approach , (IJCSIS) International Journal of
Computer Science and Information Security, Vol. 8, No. 1, April 2010
575. T.Deepa ,Dr.M.Punithavalli, An Analysis for Mining Imbalanced Datasets,
(IJCSIS) International Journal of Computer Science and Information Security, Vol. 8,
No. 1, April 2010.
576. Asrul Adam,Ibrahim Shapiai,Zuwairie Ibrahim,and Marzuki Khalid, Lim
Chun Chewand Lee Wen Jau, Junzo Watada, 2010 Second International Conference
on Computational Intelligence, Communication Systems and Networks, pp. 44-48.
577. Amelia Zafra and Sebastián Ventura, Web Usage Mining for Improving
StudentsPerformance in Learning Management Systems, IEA/AIE 2010, Part III,
LNAI 6098, pp. 439–449, 2010.
578. P. Rajendran and M. Madheswaran, An Improved Brain Image Classification
Technique with Mining and Shape Prior Segmentation Procedure, Journal of Medical
Systems, DOI 10.1007/s10916-010-9542-8
579. Zhenhua Zhu, Ioannis Brilakis, Parameter optimization for automated concrete
detection in image data, Automation in Construction, 19 (7), pp. 944-953
580. Raúl Martín-Félez and Ramón A. Mollineda, On the Suitability of Combining
Feature Selection and Resampling to Manage Data Complexity, Lecture Notes in
Computer Science, Volume 5988/2010, 141-150.
581. Olanrewaju Jelili Oyelade, Oladipupo, Olufunke Oyejoke, Knowledge
Discovery from Students’ Result Repository: Association Rule Mining Approach,
International Journal of Computer Science and Security (IJCSS), 199 – 207.
582. Veenu Mangat, Swarm Intelligence Based Technique for Rule Mining in the
Medical Domain, International Journal of Computer Applications (0975 – 8887),
Volume 4 – No.1, July 2010
583. DONG CaiLing, YIN YiLong & YANG XiuKun, Detecting malignant
patients via modified boosted tree, SCIENCE CHINA, Information Sciences, July
2010 Vol. 53 No. 7: 1369–1378
584. Sneha Soni, IMPLEMENTATION OF MULTIVARIATE DATA SET BY
CART ALGORITHM, International Journal of Information Technology and
Knowledge Management, July-December 2010, Volume 2, No. 2, pp. 455-459
585. Ю.А. Грипич, Анализ состояния растительности и оценка рисков
развития сельскохозяйственных культур на основе статистической теории
обучения, Наукові праці ДонНТУ, Серія "Інформатика, кібернетика та
обчислювальна техніка" випуск 11(164), 2010
586. J.E.J.M Odijk, Definition extraction for glossary creation: A study on
extracting definitions for semi-automatic glossary creation in Dutch, Published by
LOT, ISBN 978-94-6093-034-8
587. G. Chaabane, La prévision de la détresse financière : Horizon prévisionnel,
Thesis, University de Tunis, 2010
588. Vicente García Jiménez, Distribuciones de Clases No Balanceadas: Métricas,
Análisis de Complejidad y Algoritmos de Aprendizaje, TESIS DOCTORAL,
Departament de Llenguatges i Sistemes Informàtics Universitat Jaume I, 2010.
589. Luca Parodi, Modellizzazione e predizione di interazioni tra soggetti non
cooperanti tramite Hidden Markov Model per applicazioni di sorveglianza
intelligente, TESI DI LAUREA, Universit a degli Studi di Genova, Facolt a di
Ingegneria, 2008.
590. Erfassung, Verwaltung und Validierung, Lebenszyklusinformationen von
Wissensdokumenten, Elektrotechnik und Informationstechnik der Technischen
Universität Darmstadt, 2010.
591. Jafar Razmara, Safaai B. Deris, A Novel Text Modeling Approach for
Structural Comparison and Alignment of Biomolecules, WSEAS TRANSACTIONS
on COMPUTERS, Issue 7, Volume 9, July 2010, 675-685.
592. Ana Paula Appel, Métodos para o pré-processamento e mineração de grandes
volumes de dados multidimensionais e redes complexas, Universidade de São Paulo,
USP, Brasil. Ano de Obtenção: 2010.
593. Juan Luis Olmo , José María Luna , José Raúl Romero and Sebastián
Ventura, An Automatic Programming ACO-Based Algorithm for Classification Rule
Mining, Advances in Soft Computing, Volume 71/2010, 649-656
594. Isabelle Bichindaritz and Amalia Annest, Case Based Reasoning with
Bayesian Model Averaging: An Improved Method for Survival Analysis on
Microarray Data, Lecture Notes in Computer Science, Volume 6176/2010, 346-359
595. Akin Ozcift and Arif Gulten, A Robust Multi-Class Feature Selection
Strategy Based on Rotation Forest Ensemble Algorithm for Diagnosis of ErythematoSquamous Diseases, Journal of Medical Systems, Springer Netherlands
596. Tung-lin Yu, Two-phase Classification Approach for Identifying News
Category, Master's Thesis, Department of Information Management, China, 2009.
597. Cristóbal Romero, Sebastián Ventura, Educational Data Mining: A Review of
the State-of-the-Art, Transactions on Systems, Man, and Cybernetics--Part C:
Applications and Reviews
598. Cristóbal Romero, Sebastián Ventura, Educational Data Mining: A Review of
the State-of-the-Art, Transactions on Systems, Man, and Cybernetics--Part C:
Applications and Reviews
599. Zhang, Wen; Liu, Juan; Niu, Yanqing; Qingjiao Li; Zijing Hui; Predicting
cleavage sites in exogenous antigen using weighted SVM, 2nd International
Computer Conference on Engineering and Technology (ICCET), 2010, Volume: 1,
Page(s): 478 – 482.
600. Patriarcheas, Kiriakos; Xenos, Michalis; Educational Techniques Comparative
Study by Using Combined Environment via Computer and Mobile Devices in
Asynchronous Discussion Forum, 2010 Ninth International Conference on Mobile
Business and 2010 Ninth Global Mobility Roundtable (ICMB-GMR), Page(s): 297 –
304.
601. B.Santhosh Kumar, K.V.Rukmani, Implementation of Web Usage Mining
Using APRIORI and FP Growth Algorithms, Int. J. of Advanced Networking and
Applications 400, Volume:01, Issue:06, Pages: 400-404 (2010)
602. W.K. Wong, Z.X. Guo, A hybrid intelligent model for medium-term sales
forecasting in fashion retail supply chains using extreme learning machine and
harmony search algorithm, International Journal of Production Economics, 128 (2),
pp. 614-624
603. Shaikh, R.A., Adi, K., Logrippo, L., Mankovski, S. Inconsistency Detection
Method for Access Control Policies. IEEE sixth International Conference on
Information Assurance and Security (IAS 2010), Atlanta, Aug. 2010.
604. Andrea Mariani, Andrea Giorgetti, Marco Chiani, Sithamparanathan
Kandeepan, Christian Kocks, Ernest Scheiber, Alexander Vießmann, Shangbo Wang,
Dong Xu, Guido Bruck, Andreas Waadt, Peter Jung, Dalia Aisenberg, Gadi Shor,
Amir Krause, Integrated Project – EUWB, Contract No 215669, Deliverable D2.2.3,
Interference Classification
605. Thilo Stadelmann, Voice Modeling Methods for Automatic Speaker
Recognition, Phd Thesis, 2010, Philipps-University Marburg
606. James D. Hurd, Daniel L. Civco, Creating An Image Dataset To Meet Your
Classification Needs: A Proof-Of-Concept Study, ASPRS 2009 Annual Conference,
Baltimore, Maryland Š March 9 - 13, 2009
607. Francisco Cantu, Sebastian M. Saiegh, A Supervised Machine Learning
Procedure to Detect Electoral Fraud using Digital Analysis, TR, MIT.
608. A. Addis, G. Armano and E. Vargiu Using the Progressive Filtering Approach
to Deal with Input Imbalance in Large-Scale Taxonomies, Large-Scale Hierarchical
Classification Workshop, March 28, 2010, The Open University in Milton Keynes,
UK.
609. A. Addis, G. Armano and E. Vargiu Using the Progressive Filtering Approach
to Deal with Input Imbalance in Large-Scale Taxonomies, Large-Scale Hierarchical
Classification Workshop, March 28, 2010, The Open University in Milton Keynes,
UK.
610. Anuar, Nor Badrul and Furnell, S.M. and Papadaki, M. and Clarke, N.L
(2009) Response Mechanisms for Intrusion Response Systems (IRSs). In: Research
Symposium on Security E-Learning Internet and Networking, 25-29 November 2009,
University of Applied Sciences Darmstadt, Germany.
611. G.Apparao, Dr.Prof Arun Singh, G.S.Rao, B.Lalitha Bhavani, K.Eswar,
D.Rajani, Financial Statement Fraud Detection by Data Mining, Int. J. of Advanced
Networking and Applications, Volume: 01 Issue: 03 Pages: 159-163 (2009)
612. Hamed Zojaji, Mohammad Alishahi, Mohammad Alishahi, Bahark Shakeri
Aski, Hosein DeldariAn Algorithm to Find Correspondence Clusters in Different
Clusterings for Using in Consensus Clustering, Amir Kabir University, IDMC2008 ,
11-12 NOV
613. Mansoor Raza, Detection And Extraction Of Features From High Resolution
Images Using Manual And Object-Oriented Image Analysis Techniques, Master of
Science in Geographic Information Science, IDAHO STATE UNIVERSITY, Nov
2009
614. Mansoor Raza, Detection And Extraction Of Features From High Resolution
Images Using Manual And Object-Oriented Image Analysis Techniques, Master of
Science in Geographic Information Science, IDAHO STATE UNIVERSITY, Nov
2009
615. ZHANG Fu．xin, Du yu-yue, Improved algorithm of generation for smallest
cut sets and safety testing of interlocking system model, APPLICATION
RESEARCH OF COMPUTERS, 2009 26(8).
616. Cláudia Almeida, Ana Maria Ferreira, Carlos Costa, APLICAÇÃO DE UM
MODELO CONCEPTUAL PARA O ESTUDO DE UM NOVO PRODUTO
TURÍSTICO ESTRATÉGICO. O CASO DO TURISMO RESIDENCIAL, III
CONGRESSO INTERNACIONAL DE TURISMO DE LEIRIA E OESTE – 2009.
617. J.P.Redonnet, Advanced Text Lexical Analysis Software, Nov 26,2008
618. A. Addis, G. Armano, and E. Vargiu, A Progressive Filtering Approach to
Hierarchical Text Categorization, Communications of SIWN, 5(August 2008):28-32,
2008.
619. Widodo, Prediksi Mata Kuliah Pilihan dengan Aturan Asosiasi , e-Indonesia
Initiative 2008 (eII2008) , Konferensi dan Temu Nasional Teknologi Informasi dan
Komunikasi untuk Indonesia, 21-23 Mei 2008, Jakarta
620. Chrysanthos Kattimeris, Data Mining: Mining Association Rules, University
of Manchester for the degree of Master of Science, 2009.
621. Boscarioli, Clodis, Análise de agrupamentos baseada na topologia dos dados e
em mapas auto-organizáveis. Escola Politécnica (EP)
622. Hamidreza Zareipour, Arya Janjani, Henry Leung, Amir Motamedi, Antony
Schellenberg, Classification of Future Electricity Market Prices, IEEE TPS 2010.
623. Danuta ZAKRZEWSKA, ZASTOSOWANIE TECHNIK EKSPLORACJI
DANYCH DO BUDOWANIA GRUP STUDENCKICH, STUDIA INFORMATICA
2010, Volume 31 Number 2B (90)
624. Dário Alves da Silva Costa, Gabriel Nogueira de Almeida, Geraldo das Dores
Gonçalves, Michelle Cristiane Silva, Renzo Joel Flores Ortiz, ANÁLISE FATORIAL
CONFIRMATÓRIA ANÁLISE DE AGRUPAMENTO: FUZZY C-MODA,
UNIVERSIDADE FEDERAL DE MINAS GERAIS, INSTITUTO DE CIENCIAS
EXATAS, DEPARTAMENTO DE ESTATÍSTICA
625. Zhang Hailei, Prediction Of Novel Biochemical Class, Disease Related
Proteins And Micrornas By Machine Learning Approach, Department Of Pharmacy,
Msc, National University Of Singapore, 2008.
626. Tomas Hudik, Learning Algorithms In Processing Of Various Difficult
Medical And Environmental Data, Ph.D. Thesis, Faculty of Informatics, Masaryk
University, January, 2009
627. Xavier Sevillano Domínguez, Hierarchical self-refining consensus
architectures and soft consensus functions for robust multimedia clustering,
Comunicacions i Teoria del Senyal, Enginyeria i Arquitectura La Salle
628. Daniel Hern´andez-Lobato, Prediction Based on Averages over Automatically
Induced Learners: Ensemble Methods and Bayesian Techniques, Doctor of
Philosophy, UNIVERSIDAD AUTONOMA DE MADRID, 2009.
629. Rao Raghuraj, Data Based System Design And Network Analysis Tools For
Chemical And Biological Processes, Doctor Of Philosophy, Department Of Chemical
And Biomolecular Engineering, National University Of Singapore, 2008
630. Aleksandra Kovacevic, Peer-to-Peer Location-based Search: Engineering a
Novel Peer-to-Peer Overlay Network, PhD, Elektrotechnik und Informationstechnik
der Technischen Universität Darmstadt von
631. Tim Schlüter and Stefan Conrad, TARGEN: A MARKET BASKET
DATASET GENERATOR FOR TEMPORAL ASSOCIATION RULE MINING,
IADIS European Conference Data Mining 2009, ISBN: 978-972-8924-88-1
632. GuangCai Zhang , AiGuo Xu, Guo Lu and ZeYao Mo, Cluster identification
and characterization of physical fields, SCIENCE CHINA Physics, Mechanics &
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633. By Jiang Li , Ayyappa Vadlamudi , Shao-Hui Chuang , Xiaoyan Sun , Bo Sun
, Frederic D. McKenzie , Lisa Cazares , Julius Nyalwidhe , Dean Troyer , O. John
Semmes, Combining Prostate Cancer Region Predictions from MALDI Spectra
Processing and Texture Analysis, 2010 IEEE International Conference on
Bioinformatics and Bioengineering , Issue Date:May 2010, pp. 73-78
634. Hadjidoukas, P.E., Amsaleg, L., Nested OpenMP parallelization of a
hierarchical data clustering algorithm, 2010 Parallel Processing Letters 20 (2), pp.
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635. Badjio, E.F., Poulet, F. , Theory of consensus applied to the pretreatment of
the sets of data | [Théorie du consensus appliquée au prétraitement des ensembles de
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636. K. Rajendra Prasad, B. Bhaskara Rao, M. Surya Bhupal Rao, and S.C.V.
Ramana Rao, An Efficient Analytical Results From Large databases, Proceedings of
the Int. Conf. on Information Science and Applications ICISA 2010, 6 February
2010, Chennai, India, 301-304.
637. Larry Shoemaker, Robert E. Banfield, Lawrence O. Hall, Kevin W. Bowyer
and W. Philip Kegelmeyer, Detecting and ordering salient regions, Data Mining and
Knowledge Discovery 22 (1-2), pp. 259-290.
638. Rajashree Dash, Rasmita Dash, Debahuti Mishra, A Hybridized Rough-PCA
Approach of Attribute Reduction for High Dimensional Data Set, European Journal of
Scientific Research ISSN 1450-216X Vol.44 No.1 (2010), pp.29-38
639. B.Aksoy, V.Labatut, M.Egi, T.Ozyigit, P.Denoble, C.Balestra, R.Vann &
A.Marroni, Association rules of DCI patient clusters and reliability of clustering
analysis, International Conference on Diving Hyperbaric Medicine Aberdeen, UK:
European Underwater and Barometrical Society, 2009
640. Yan H, Venkatesan K, Beaver JE, Klitgord N, Yildirim MA, et al. 2010 A
Genome-Wide Gene Function Prediction Resource for Drosophila melanogaster.
PLoS ONE 5 (8), art. no. e12139, pp. 1-11
641. Yasemin Kilinç, Mining Association Rules For Quality Related Data In An
Electronics Company, The Graduate School Of Natural And Applied Sciences Of
Middle East Technical University, February 2009.
642. Khan, A., Jamjoom, H., Sun, J. , AIM-HI: A framework for request routing in
large-scale IT global service delivery, 2009 IBM Journal of Research and
Development 53 (6)
643. David Y. Chan, Miklos A. Vasarhelyi, Innovation and Practice of Continuous
Auditing, International International Journal of Accounting Information Systems 12
(2), 2011, pp. 152-160
644. B. S. Harish, D. S. Guru, S. Manjunath, Representation and Classification of
Text Documents: A Brief Review, IJCA Special Issue on “Recent Trends in Image
Processing and Pattern Recognition” RTIPPR, 2010, pp. 110-119.
645. Fletcher H. Glancy, Surya B. Yadav, A computational model for financial
reporting fraud detection, Decision Support Systems, In Press, Accepted Manuscript,
Available online 18 August 2010
646. Rehman, Z. u., Sarwar, M. I., Aslam, M., and Shaheen, M. 2009. An
intelligent assistant for mathematical production. In Proceedings of the 6th
international Conference on Frontiers of information Technology (Abbottabad,
Pakistan, December 16 - 18, 2009). FIT '09. ACM, New York, NY, 1-6.
647. E.W.T. Ngai, Yong Hu, Y.H. Wong, Yijun Chen, Xin Sun, The application of
data mining techniques in financial fraud detection: A classification framework and
an academic review of literature, Decision Support Systems, In Press, Accepted
Manuscript, Available online 19 August 2010
648. Sean L. Humpherys, Kevin C. Moffitt, Mary B. Burns, Judee K. Burgoon,
William F. Felix, Identification of fraudulent financial statements using linguistic
credibility analysis, Decision Support Systems, In Press, Accepted Manuscript,
Available online 19 August 2010
649. Sven S. Groth, Jan Muntermann, An intraday market risk management
approach based on textual analysis, Decision Support Systems 50 (4), pp. 680-691
650. Zlatko J. Kovačić, John Steven Green, Predictive working tool for early
identification of ‘at risk’ students, School of Information and Social Sciences, TR,
Open Polytechnic, Private Bag 31914, Lower Hutt, New Zealand
651. Eduardo Ribas Pinto, Meta-aprendizado para análise de desempenho de
métodos de classificação multi-label, Thesis, portugués Universia.
652. Lopez-Meyer, P., Makeyev, O., Schuckers, S., Melanson, E.L., Neuman,
M.R., Sazonov, E., Detection of food intake from swallowing sequences by
supervised and unsupervised methods, Annals of Biomedical Engineering 38 (8),
2010, pp. 2766-2774
653. Lopez-Meyer, P., Makeyev, O., Schuckers, S., Melanson, E.L., Neuman,
M.R., Sazonov, E., Detection of food intake from swallowing sequences by
supervised and unsupervised methods, Annals of Biomedical Engineering 38 (8),
2010, pp. 2766-2774
654. Constanta-Nicoleta Bodea, Maria Dascalu and Melania Coman, Quality of
Project Management Education and Training Programmes, Technology Enhanced
Learning. Quality of Teaching and Educational Reform, Communications in
Computer and Information Science, 2010, Volume 73, 324-330
655. Sung-Kwun Oh, Wook-Dong Kim, Witold Pedrycz, Byoung-Jun Park,
Polynomial-based radial basis function neural networks (P-RBF NNS) realized with
the aid of particle swarm optimization, Fuzzy Sets and Systems, Volume 163 Issue 1,
January, 2011.
656. André L.V. Coelho, Diego S.C. Nascimento, On the evolutionary design of
heterogeneous bagging models, Neurocomputing, 2010, 73 (16-18), pp. 3319-3322
657. M.A. Ali, M.I. Yousuf, Use of Intelligent Agents in Interactive Web
Applications, Journal of Mathematics and Technology, ISSN: 2078-0257, No.3,
August, 2010, pp. 86-94.
658. Debejyo Chakraborty, Time-Frequency Based Adaptive Learning for
Structural Health Management, PhD, Arizona State University, August 2010.
659. Kye-Sung Kim, Seong-Bae Park, Hyun-Je Song, Se Young Park and Sang-Jo
Lee, Identification of Non-referential Zero Pronouns for Korean-English Machine
Translation, PRICAI 2010: Trends in Artificial Intelligence, Lecture Notes in
Computer Science, 2010, Volume 6230/2010, 112-122.
660. Hemant Kumar Sharma, Graph Based Approaches Used in Association Rule
Mining, Msc Thesis, Computer Science and Engineering Department, Thapar
University, 2010.
661. Mehmet Saltan, Serdal Terzi, Ecir Uğur Küçüksille, Backcalculation of
Pavement Layer Moduli and Poisson’s Ratio Using Data Mining, Expert Systems
with Applications, In Press, Accepted Manuscript, Available online 31 August 2010
662. Swaraj Sinha, Sree Rama Chaitanya Sridhara, Sundaramoorthy Srinivasan,
Ajit Muley, Syamantak Majumder, Maniselvan Kuppusamy, Ravi Gupta, Suvro
Chatterjee, NO (nitric oxide): The ring master, European Journal of Cell Biology, In
Press, Corrected Proof, Available online 30 August 2010
663. Yingxu Wang, Discoveries and Breakthroughs in Cognitive Informatics and
Natural Intelligence, IGI Global snippet, 2010.
664. Xenia Naidenova, Machine Learning Methods for Commonsense Reasoning
Processes: Interactive Models, IGI Global snippet, 2010
665.
J. Prabhu, M. Sudharshan, M. Saravanan, G. Prasad, "Augmenting Rapid
Clustering Method for Social Network Analysis," International Conference on
Advances in Social Network Analysis and Mining, pp. 407-408.
666. Beatrice Lazzerini , Sara Lioba Volpi, Noise Assessment in the Diagnosis of
Rolling Element Bearings, 2010 International Conference on Intelligent Computing
and Cognitive Informatics, June 2010, pp. 227-230
667. Matthias Rupp, Kernel Methods for Virtual Screening, PhD thesis, ohann
Wolfgang Goethe-University, Frankfurt am Main, Germany, 2009.
668. Dong Ling Tong, Genetic Algorithm-Neural Network: Feature Extraction For
Bioinformatics Data, Bournemouth University for the degree of Doctor of Philosophy,
July 2010
669. Dong Ling Tong, Genetic Algorithm-Neural Network: Feature Extraction For
Bioinformatics Data, Bournemouth University for the degree of Doctor of Philosophy,
July 2010
670. Praveen Kumar, G.; Sarkar, Anirban; Ilhyun Lee; Haesun Lee; Debnath,
Narayan C; , "A novel approach for hierarchical clustering in non -binary search
space," 8th IEEE International Conference on Industrial Informatics (INDIN), pp.693697, 13-16 July 2010
671. Yanqing Lui; Jianmin Gao; Zhiyong Gao; Yingsheng Ji; , "Study of abnormal
events relevance in process industry based on sequences pattern mining,", 8th World
Congress on Intelligent Control and Automation (WCICA) pp.5692-5697, 7-9 July
2010
672. Chen, S.; He, H.; Garcia, E. A.; , "RAMOBoost: Ranked Minority
Oversampling in Boosting," IEEE Transactions on Neural Networks, Volume: 21 ,
Issue: 10, Page(s): 1624 - 1642
673. Alvarez, I., Martin, S., Mesmoudi, S. Describing the result of a classifier to
the end-user: Geometric-based sensitivity, 2010 Frontiers in Artificial Intelligence and
Applications 215, pp. 835-840
674. Elaine Nsoesie, Methods for categorizing disease outbreaks based on partial
epidemic curves, PhD candidate in GBCB, Virginia Bioinformatics Institute, 2010.
675. Purda, Lynnette D. and Skillicorn, David, Reading between the Lines:
Detecting Fraud from the Language of Financial Reports (September 1, 2010).
Available at SSRN: http://ssrn.com/abstract=1670832
676. Huu-Giao Nguyen, Ronan Fablet and Jean-Marc Boucher, Spatial Statistics of
Visual Keypoints for Texture Recognition, Lecture Notes in Computer Science, 2010,
Volume 6314/2010, pp. 764-777.
677. Riwal Lefort, Ronan Fablet and Jean-Marc Boucher, Weakly Supervised
Classification of Objects in Images Using Soft Random Forests, Lecture Notes in
Computer Science, 2010, Volume 6314/2010, pp. 185-198.
678. Sara Colantonio, Suzanne Little, Ovidio Salvetti and Petra Perner, Prototype–
Based Classification in Unbalanced Biomedical Problems, Studies in Computational
Intelligence, 2010, Volume 305/2010, pp. 143-163.
679. John Pagonis, Adrian F. Clark, Engene: A genetic algorithm classifier for
content-based recommender systems that does not require continuous user feedback;
10th UK Computational Intelligence Workshop, Essex, September 2010
680. M. Bill Wong, Plastic analysis and design of steel structures, ButterworthHeinemann, 2009 - Technology & Engineering
681. Magda Osman, Controlling Uncertainty: Decision Making and Learning in
Complex Worlds, John Wiley and Sons, 2010.
682. Leila Nemmiche-Alachaher, Contextual Approach to Data Discretization,
2010 Fifth International Multi-conference on Computing in the Global Information
Technology, pp. 35-40.
683. Ipsita Bhattacharya, M.P.S Bhatia, SVM Classification to Distinguish
Parkinson Disease Patients, Conference of Women in Computing in India, 2009.
684. Willie Ng and Manoranjan Dash, Discovery of Frequent Patterns in
Transactional Data Streams, Lecture Notes in Computer Science, 2010, Volume 6380,
Transactions on Large-Scale Data- and Knowledge-Centered Systems II, Pages 1-30
685. Myriam Bounhas, Khaled Mellouli, Henri Prade and Mathieu Serrurier, From
Bayesian Classifiers to Possibilistic Classifiers for Numerical Data, Lecture Notes in
Computer Science, 2010, Volume 6379, Scalable Uncertainty Management, Pages
112-125.
686. Andrea Addis, Giuliano Armano, Eloisa Vargiu, Using Progressive Filtering
to Deal with Information Overload, 7th International Workshop on Text-based
Information Retrieval (Workshop TIR '10 ), Page(s): 20 - 24
687. QURESHI Taimur, Contributions to Decision Tree Learning, Doctorat
Nouveau Régime, Informatique et mathématiques, Université Lumière Lyon 2, 2010.
688. Jie Ji and Qiangfu Zhao, Applying Naive Bayes Classifier to Document
Clustering, Journal of Advanced Computational Intelligence and Intelligent
Informatics, Vol.14, No.6 pp. 624-630, 2010.
689. Colantonio, S., Little, S., Salvetti, O., Perner, P., Prototype-based
classification in unbalanced biomedical problems, 2010 Studies in Computational
Intelligence 305, pp. 143-163.
690. Fernandes, P., Lopes, L., and Ruiz, D. D. 2010. The impact of random
samples in ensemble classifiers. In Proceedings of the 2010 ACM Symposium on
Applied Computing (Sierre, Switzerland, March 22 - 26, 2010). SAC '10. ACM, New
York, NY, 1002-1009.
691. Christopher M. Gifford, Collective Machine Learning: Team Learning and
Classification in Multi-Agent Systems, Computer Science and the Graduate Faculty of
the University of Kansas, Doctor of Philosophy, 2009.
692. Christopher M. Gifford, and Arvin Agah, Collaborative multi-agent rock
facies classification from wireline well log data, Engineering Applications of
Artificial Intelligence, Volume 23, Issue 7, October 2010, Pages 1158-1172
693. Hamid Farvaresh, Mohammad Mehdi Sepehri, A data mining framework for
detecting subscription fraud in telecommunication, Engineering Applications of
Artificial Intelligence, In Press, Corrected Proof, Available online 19 June 2010
694. Wang Ya; Li Da-hua; Zhang Si-bing; Application of weighted distance in
clustering of hydraulic press, 2010 2nd International Conference on Computer
Engineering and Technology (ICCET), 16-18 April 2010, pp. 335-338.
695. Leonardo Ornella, Elizabeth Tapia, Supervised machine learning and heterotic
classification of maize (Zea mays L.) using molecular marker data, Computers and
Electronics in Agriculture, In Press, Corrected Proof, Available online 2 October 2010
696. Huifen Wang, Li Qiao and Tingting Liu, Cluster Analysis for Classifying
Similar Shared Resources in Cooperative Design, Lecture Notes in Computer Science,
2010, Volume 6240, Cooperative Design, Visualization, and Engineering, Pages 140144.
697. LI Ming-fang，ZHANG Hua-xiang，ZHANG Wen，JI Hua, Approach to
optimize threshold of ANN on imbalance datasets, Computer Engineering and
Applications, 2010 46 (20): 168-171.
698. GUO Qiao-jin,LI Li-bin,LI Ning, Novel modified AdaBoost algorithm for
imbalanced data classification, Computer Engineering and Applications, 2008,
44(21): 217-221.
699. CHEN Mei-xia, GUO Gong-de, HUANG Jie, LIU Yong-fen, An Intrusion
Detection Algorithm for Imbalanced Datasets, Journal of Fujian Normal
University(Natural Science Edition), 2010-04.
700. Martin Abente, Javier Martinez, and Benjamin Barian, Evolucion de Reglas de
Clasicacion Binaria utilizando Programacion Genetica Lineal: Una Aplicacion al
Descarte de Ganado, XXXVI Conferencia Latinoamericana de Informática,
CLEI’2010. Asunción – Paraguay.
701. Chris de Vries, Application of K-tree to document clustering, Masters of IT by
research, 2010.
702. Ikmal Hisyam Mohamad Paris, Lilly Suriani Affendey, and Norwati
Mustapha, Improving Academic Performance Prediction using Voting Technique in
Data Mining, World Academy of Engineering and Technology 62 2010, 820-823.
703. Ikmal Hisyam Mohamad Paris, Lilly Suriani Affendey, and Norwati
Mustapha, Improving Academic Performance Prediction using Voting Technique in
Data Mining, World Academy of Engineering and Technology 62 2010, 820-823.
704. Vincent Lemaire, Data Mining: Exploration, Sélection, Compréhension,
Thesis, Université de Paris Sud
705. Jarek Krajewski , Anton Batliner , Silke Kessel, Comparing Multiple
Classifiers for Speech-Based Detection of Self-Confidence - A Pilot Study, 2010 20th
International Conference on Pattern Recognition, pp. 3716-3719
706. Linying Su, User Behaviour Based Access Control Decision, 2010
International Conference on E-Business and E-Government, May 2010, pp. 13721376
707. Israel Gonzalez Carrasco, Analisis, Optimizacion y Evaluacion de Modelos de
Redes de Neuronas Artificiales para la Clasificacion y Prediccion de Impactos de Alta
Velocidad sobre Distintos Materiales, Tesis Doctoral Doctorado en Ciencia y
Tecnologıa Informatica, Departamento de Informatica, Universidad Carlos III de
Madrid
708. S. Santhosh Baboo, I. Kadar Shereef, Applicability of Data Mining
Techniques for Climate Prediction – A Survey Approach, International Journal of
Computer Science and Information Security, 8(1), 203-206
709. Ping-Feng Pai, Ming-Fu Hsu, Ming-Chieh Wang, A Support Vector MachineBased Model for Detecting Top Management Fraud, Knowledge-Based Systems, In
Press, Accepted Manuscript, Available online 13 October 2010
710. Halevi, T. and Saxena, N. 2010. On pairing constrained wireless devices based
on secrecy of auxiliary channels: the case of acoustic eavesdropping. In Proceedings
of the 17th ACM Conference on Computer and Communications Security (Chicago,
Illinois, USA, October 04 - 08, 2010). CCS '10. ACM, New York.
711. Apoorv Agarwal, Owen Rambow, Automatic Detection and Classification of
Social Events, Proceedings of the 2010 Conference on Empirical Methods in Natural
Language Processing, pages 1024–1034, MIT, Massachusetts, USA, 9-11 October
2010.
712. O.A. Mohamed Jafar and R. Sivakumar, Ant-based Clustering Algorithms: A
Brief Survey, International Journal of Computer Theory and Engineering, Vol. 2, No.
5, October, 2010, 1793-8201
713. Jim Thomas, Automated Damage Assessment From High Resolution Remote
Sensing Imagery, Master of Science in Computer Science and Engineering,
University of Notre Dame, 2010.
714. Caio Vinicius Soares, Improving Prediction Accuracy Using Class-specific
Ensemble Feature Selection, Degree of Doctor of Philosophy, Auburn University,
2010
715. Marija Radovic, Reliability Estimation in Regression Supported with Metalearning and Principal Component Analysis, University of Ljubljana, 2010.
716. Daniele Soria, Novel Methods to Elucidate Core Classes in Multi-Dimensional
Biomedical Data, University of Nottingham, Doctor of Philosophy, 2010.
717. V.Umarani, M.Punithavalli, A Study On Effective Mining Of Association
Rules From Huge Databases, IJCSR International Journal of Computer Science and
Research, Vol. 1 Issue 1, 2010.
718. G. S. Larue, Predicting Effects of Monotony on Driver’s Vigilance, Doctor of
Philosophy, Queensland University of Technology, 2010.
719. Stiller, C. Ros, F. Ament, C., Towards spatial awareness in recommender
systems, International Conference for Internet Technology and Secured Transactions,
ICITST 2009, 9-12 Nov. 2009, pp. 1 – 7.
720. Sebastian M. Saiegh, Francisco Cantu, Fraudulent Democracy? An Analysis
of Argentina's Infamous Decade using Supervised Machine Learning, APSA 2010
Annual Meeting.
721. Korbinian Frank, Marıa Josefa Vera Nadales, Patrick Robertson and Michael
Angermann, Reliable Real-Time Recognition of Motion Related Human Activities
Using MEMS Inertial Sensors, 23rd International Technical Meeting of the Satellite
Division of the Institute of Navigation 2010, ION GNSS 2010 4, pp. 2919-2932.
722. Wasif Afzal, Using Faults-Slip-Through Metric As A Predictor of FaultProneness, 2010 Asia Pacific Software Engineering Conference, pp. 414-422.
723. Meftah Salem M Alfatni, Abdul Rashid Mohamed Shariff and Osama M. Ben
Saaed, The Design and Process of the External Inspection System in Agricultural
Engineering, Map Asia & ISG 2010, 26-28/7/2010.
724. Salim Jouili and Salvatore Tabbone, Graph Embedding Using Constant Shift
Embedding, International Conference on Pattern Recognition - ICPR 2010 Springer
Berlin / Heidelberg (Ed.) (2010) 83-92.
725. Yandan Lu, Kazuya Kawamura, Data-Mining Approach to Work Trip Mode
Choice Analysis in Chicago, Illinois, Area, Transportation Research Record: Journal
of the Transportation Research Board, Volume 2156 / 2010, 73-80.
726. Francisco Vicen Cipolla-Ficarra, Quality and Communicability for Interactive
Hypermedia Systems: Concepts and Practices for Design, IGI Global snippet, 2010
727. Yunjiao Xue, Ontological View-driven Semantic Integration in Open
Environments, Doctor of Philosophy, The University of Western Ontario, London,
Ontario, Canada, 2010.
728. Yanping Yang, Guangzhi Ma, Ensemble-based active learning for class
imbalance problem, J. Biomedical Science and Engineering, 2010, 3, 1022-1029
729. Nicholas M. Boers And Ioanis Nikolaidis, Pawel Gburzynski, Sampling and
Classifying Interference Patterns in a Wireless Sensor Network, TR, Olsonet
Communications Corporation, Canada, 2010
730. Johan L. Perols, Detecting Financial Statement Fraud: Three Essays on Fraud
Predictors, Multi-Classifier Combination and Fraud Detection Using Data Mining,
Doctor of Philosophy, Department of Information Systems and Decision Sciences,
Department of Accountancy, College of Business, University of South Florida, April
10, 2008
731. Μπαλλαση Γεωργιας, Αξιολογηση Πιστοληπτικης Ικανοτητας Και Μοντελα
Προβλεψης Πτωχευσης, ∆ιατµηµατικο Προγραµµα Μεταπτυχιακων Σπουδων Στην
∆ιοικηση Επιχειρησεων, Οκτώβριος 2010
732. Anuar, N.B.; Papadaki, M.; Furnell, S.; Clarke, N., An investigation and
survey of response options for Intrusion Response Systems (IRSs), Information
Security for South Africa (ISSA), 2010, Publication Year: 2010 , Page(s): 1 – 8
733. Qingshan Deng; Detection of fraudulent financial statements based on Naïve
Bayes classifier, 2010 5th International Conference on Computer Science and
Education (ICCSE), Publication Year: 2010 , Page(s): 1032 – 1035
734. Janice Kwan-Wai Leung and Chun Hung Li, Concept Discovery in
Youtube.com Using Factorization Method, HANDBOOK OF SOCIAL NETWORK
TECHNOLOGIES AND APPLICATIONS, 2010, Part 2, 281-302.
735. Alexander Getman, Jinhak Kim, Tae-Chan Kim, IMAGING SYSTEM
HAVING WHITE-RGB COLOR FILTER ARRAY, Proceedings of 2010 IEEE 17th
International Conference on Image Processing, September 26-29, 2010, Hong Kong,
pp. 569-572.
736. Veenu Mangat, Increasing Performance of Rule Mining in the Medical
Domain Using Natural Intelligence Concepts, Proceedings of the World Congress on
Engineering and Computer Science 2010 Vol I WCECS 2010, October 20-22, 2010,
San Francisco, USA
737. Kurt Weissgerber, Developing an Effective and Efficient Real Time Strategy
Agent for Use as a Computer Generated Force; AIR FORCE INST OF TECH
WRIGHT-PATTERSON AFB OH GRADUATE SCHOOL OF ENGINEERING
AND MANAGEMENT
738. Pai, P.-F., Hsu, M.-F., Wang, M.-C, Computer-assisted audit techniques based
on an enhanced rough set model, 6th International Conference on Networked
Computing and Advanced Information Management, NCM 2010, pp. 207-212
739. Adam, Asrul; Shapiai, Ibrahim; Ibrahim, Zuwairie; Khalid, Marzuki; Chew,
Lim Chun; Jau, Lee Wen; Watada, Junzo; A Modified Artificial Neural Network
Learning Algorithm for Imbalanced Data Set Problem, 2010 Second International
Conference on Computational Intelligence, Communication Systems and Networks
(CICSyN).
740. Haifeng sui; Bingru Yang; Yun Zhai; Wu Qu; Yun Zhai; Bing An; The
problem of classification in imbalanced data sets in knowledge discovery, 2010
International Conference on Computer Application and System Modeling (ICCASM).
741. Pablo D. Robles-Granda and Ivan V. Belik, A Comparison of Machine
Learning ClassifiersApplied to Financial Datasets, Proceedings of the World
Congress on Engineering and Computer Science 2010 Vol I, WCECS 2010, October
20-22, 2010, San Francisco, USA
742. P. Ravisankar, V. Ravi, G. Raghava Rao, I. Bose, Detection of financial
statement fraud and feature selection using data mining techniques, Decision Support
Systems, In Press, Accepted Manuscript, Available online 12 November 2010
743. Kuang, Ye Chow; Ooi, Melanie Po-Leen, Complex feature alternating
decision tree, International Journal of Intelligent Systems Technologies and
Applications, Volume 9, Numbers 3-4, November 2010 , pp. 335-353(19)
744. Hajira Jabeen, Abdul Rauf Baig, DepthLimited crossover in GP for classifier
evolution, Computers in Human Behavior, 27 (5), pp. 1475-1481
745. Bounhas, M., Mellouli, K., A possibilistic classification approach to handle
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996. Christoff Fourie, A One Class Object Based System For Sparse Geographic
Feature Identification, Master of Science at Stellenbosch University, 2011.
997. Alfonso Mendoza-Velázquez, Pilar Gómez-Gil, Neural Networks, Ordered
Probit Models and Multiple Discriminants Evaluating Risk Rating Forecasts of Local
Governments in Mexico, Universidad Popular Autonoma del Estado de Puebla,
Centro de Investigacion e Inteligencia Economica
998. D. Kabakchieva, K. Stefanova, V. Kisimov, Analyzing University Data for
Determining Student Profiles and Predicting Performance, 4th International
Conference on Educational Data Mining (EDM 2011)
999. C. Márquez-Vera, C. Romero and S. Ventura, Predicting School Failure Using
Data Mining, 4th International Conference on Educational Data Mining (EDM 2011)
1000. Jana Kludas, Information Fusion for Multimedia: exploiting Feature
Interactions for Semantic Feature Selection and Construction, These No 4282,
UNIVERSIT´E DE GENEVE, 2011.
1001. Jaroslav Vazny, Virtual Observatory and Data Mining, Master's Thesis,
Masaryk University, 2011
1002. Richard Fredlund, A Bayesian expected cost reduction approach to active
learning, University of Exeter as a thesis for the degree of Doctor of Philosophy in
Computer Science, April 2011.
1003. Julián Sanz Cuenca, RECONOCIMIENTO DE OBJETOS
PORDESCRIPTORES DE FORMA, Universitat de Barcelona, 2008.
1004. Duygu ŞAHİN, Testbed for Association Rule Mining Algorithms, Bachelor of
Science in Computer Engineering, İzmir Institute of Technology, 2011
1005. Serkan Altuntas, Hasan Selim, Facility Layout Using Weighted Association
Rule-Based Data Mining Algorithms: Evaluation with Simulation Original Research
Article, Expert Systems with Applications, 39 (1), pp. 3-13
1006. Harish Katti, Human Visual Perception, a study and applications to
understanding Images and Videos, Thesis, Computing school at NUS, Singapore,
2011
1007. Zuhtuogullari, K.; Allahverdi, N.; An improved itemset generation approach
for mining medical databases, 2011 International Symposium on Innovations in
Intelligent Systems and Applications (INISTA), Publication Year: 2011 , Page(s): 39
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1008. Igor Santos, Carlos Laorden, Borja Sanz, Pablo G. Bringas, Enhanced Topicbased Vector Space Model for Semantics-aware Spam Filtering, Expert Systems with
Applications, Volume 39, Issue 1, January 2012, Pages 437-444.
1009. Igor Santos, Carlos Laorden, Borja Sanz, Pablo G. Bringas, Enhanced Topicbased Vector Space Model for Semantics-aware Spam Filtering, Expert Systems with
Applications, In Press,.
1010. Franco Alessandro Ubaudi, Assessing a feature's trustworthiness and two
approaches to feature selection, University of Technology Sydney (UTS), Doctor of
Philosophy in Computing Sciences, 2011
1011. Silvio VALENTI, Dealing with P2P traffic in modern networks: measurement,
identification and control, docteur de l’Ecole Nationale Supérieure des
Télécommunications, Paris
1012. Boi M. Milo i drugi: Srednjorono predvianje elektrinog optereenja primenom
metoda podravajuih vektora, ELEKTROPRIVREDA, GODINA LXIV, BROJ 1,
2011, 48–54
1013. S. Anupama Kumar, and Dr. Vijayalakshmi M.N, Efficiency of Decision
Trees in Predicting Student’s Academic Performance, D.C. Wyld, et al. (Eds):
CCSEA 2011, CS & IT 02, pp. 335–343, 2011
1014. Dua, Sumeet; Saini, Sheetal; Singh, Harpreet, Temporal Pattern Mining for
Multivariate Time Series Classification, Journal of Medical Imaging and Health
Informatics, Volume 1, Number 2, June 2011 , pp. 164-169.
1015. Schluter, Tim; Conrad, Stefan; About the analysis of time series with temporal
association rule mining, 2011 IEEE Symposium on Computational Intelligence and
Data Mining (CIDM), 11-15 April 2011, page(s): 325 – 332.
1016. R.Rathinasabapathy, R.Bhaskaran, Analysis of Complexities for finding
efficient Association Rule Mining Algorithms, International Journal of Internet
Computing, Volume-I, Issue-1, 2011, pp. 29-34.
1017. Corinna Klein, Information Extraction from Text for Improving Research on
Small Molecules and Histone Modifications, PhD, University of Bonn, 2011
1018. Aktan, S., Application of machine learning algorithms for business failure
prediction, 2011,
Investment Management and Financial Innovations 8 (2), pp.
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1019. Nguyen, G.P., Biurrun Manresa, J.A., Curatolo, M., Andersen, O.K., Data
mining techniques for analyzing demographic factors in relation to chronic pain
patients, 2011 IFMBE Proceedings 34, pp. 226-229
1020. Chih-Hung Hsieh, A Generalized Gaussian Components based Density
Estimation Algorithm and its Applications, Thesis, University of Taiwan.
1021. Chi-man Vong, Pak-kin Wong, Weng-fai Ip, Case-based expert system using
wavelet packet transform and kernel-based feature manipulation for engine ignition
system diagnosis, Engineering Applications of Artificial Intelligence, 24 (7), pp.
1281-1294
1022. Czarnetzki, S., Kerner, S., Szcypior, Learning from demonstration: Automatic
generation of extended behavior networks for autonomous robots from an expert's
demonstration, ICAART 2011 - Proceedings of the 3rd International Conference on
Agents and Artificial Intelligence 1, pp. 394-400
1023. Benjamin Auffarth, Agustín Gutierrez-Galvez and Santiago Marco, Statistical
analysis of coding for molecular properties in the olfactory bulb, Frontiers in Systems
Neuroscience, Vol 5, 2011
1024. Rajest Bordawekar, Bob Blainey, Chidanand Apte, Michael McRoberts, A
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1025. Fuyuan Cao, Jiye Liang, Deyu Li, Liang Bai, Chuangyin Dang, A
Dissimilarity Measure for the k-Modes Clustering Algorithm, Knowledge-Based
Systems, 26, 2012, pp. 120-127
1026. A. Cecchinato, M. Penasa, M. De Marchi, L. Gallo, G. Bittante and P. Carnier,
Genetic parameters of coagulation properties, milk yield, quality, and acidity
estimated using coagulating and noncoagulating milk information in Brown Swiss and
Holstein-Friesian cows, Journal of Dairy Science, Volume 94, Issue 8, August 2011,
Pages 4205-4213
1027. Washington Okori and Joseph Obua, Machine Learning Classification
Technique for Famine Prediction, Proceedings of the World Congress on Engineering
2011 Vol II, WCE 2011, July 6 - 8, 2011, London, U.K, pp. 991-996
1028. Jan Vacl, A Suspected Annotation Detection, Bachelor Thesis, Charles
University in Prague, 2011
1029. Zuriani Mustaffa, Yuhanis Yusof, A Comparison of Normalization Techiques
in Predicting Dengue Outbreak, 2010 International Conference on Business and
Economics Research vol.1 (2011), IACSIT Press, Kuala Lumpur, Malaysia
1030. David L. Hancock, A Multi Agent System for Flow-Based Intrusion Detection
Using Reputation and Evolutionary Computation, Department of The Air Force, Air
University, 2011
1031. Gao Xuedong, Gu Shujuan, Wu Sen, DSUB: A Noise-immune Method to
Measure Concept Drift, Advances in Information Sciences and Service Sciences,
Volume3, Number6, July 2011, 311-319.
1032. M. Bagavandas, G. Manimannan, Identification of consistent and distinct
writing styles: a clustering-based stylistic analysis, Language Forum / July-Dec, 2009
1033. Erene Gernaria Sihombing, Penerapan Algoritma Klasifikasi C4.5 Untuk
Penentuan, Thesis, Jakarta 2011
1034. Qiusha Zhu, Lin Lin, Mei-Ling Shyu, and Shu-Ching Chen, "Effective
Supervised Discretization for Classification based on Correlation Maximization," The
12th IEEE International Conference on Information Reuse and Integration (IRI 2011),
Las Vegas, Nevada, USA, pp. 390-395, August 3-5, 2011.
1035. Stanislaw Osowski, Michal Kruk, Robert Koktysz, Jaroslaw Kurek, Image
Processing for Localization and Parameterization of the Glandular Ducts of Colon in
Inflammatory Bowel Diseases, DOI: 10.4018/978-1-60960-551-3.ch001, Copyright ©
2011, IGI Global
1036. Jiatang Dong and Cen Li. 2011. A comparative study of the classification
techniques in isolated Mandarin syllable tone recognition. In Proceedings of the 49th
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1037. Shanta Rangaswamy, and Shobha G., Online Indexing For Databases Using
Query Workloads, International Journal of Computer Science and Communication,
Vol. 2, No. 2, July-December 2011, pp. 427-433
1038. Zou, Guixi; Kesidis, George; Miller, David J.; A Flow Classifier with
Tamper-Resistant Features and an Evaluation of Its Portability to New Domains,
IEEE Journal on Selected Areas in Communications, Issue Date: August 2011,
Volume: 29 Issue:7, On page(s): 1449 – 1460
1039. Indraneel Chandrasen Dabhade, Multivalued Subsets Under Information
Theory, Master of Science Industrial Engineering, Graduate School of Clemson
University
1040. Indraneel Chandrasen Dabhade, Multivalued Subsets Under Information
Theory, Master of Science Industrial Engineering, Graduate School of Clemson
University
1041. Jinchang Ren, ANN vs. SVM: Which one performs better in classification of
MCCs in mammogram imaging, Knowledge-Based Systems, 26, 2012, pp. 144-153
1042. Eric Y.T. Juan,J.H. Chang,C.H. Li,B.Y. Chen, Methods for Protein
Subcellular Localization Prediction, International Conference Complex, Intelligent
and Software Intensive Systems, Date:July 2011, pp. 553-558
1043. M. Muthu Rama Krishnan, Chandan Chakraborty, Ranjan Rashmi Paul and
Ajoy K. Ra, Hybrid segmentation, characterization and classification of basal cell
nuclei from histopathological images of normal oral mucosa and oral submucous
fibrosis, Expert Systems with Applications, In Press, Available online 3 August 2011.
1044. Fei Zhu, Jiong Yang and Yong Zhou, Enriched Format Text Categorization
Using A Component Similarity Approach, JOURNAL OF SOFTWARE, VOL. 6,
NO. 9, SEPTEMBER 2011, pp. 1713-1720.
1045. van Dijk, S.G.; Polani, D., Grounding subgoals in information transitions,
IEEE Symposium on Adaptive Dynamic Programming And Reinforcement Learning
(ADPRL), pp. 105-111.
1046. Kludas, Jana; Marchand-Maillet, Stephane, Effective multimodal information
fusion by structure learning, 2011 Proceedings of the 14th International Conference
on Information Fusion (FUSION), pp. 1-8.
1047. V.Ramesh, P.Parkavi, P.Yasodha, Performance Analysis of Data Mining
Techniques for Placement Chance Prediction, International Journal of Scientific &
Engineering Research Volume 2, Issue 8, Auguest-2011, pp. 1-6.
1048. Bruhn, Paul; Weinschenk, Jeffrey; Supervised learning in CINets, Proceedings
of the 14th International Conference on Information Fusion (FUSION), 2011, Issue
Date: 5-8 July 2011, On page(s): 1 – 8
1049. heng-Yi Luo, A Research on Resolving Pronunciation Ambiguity of
Polyphonic Characters by using Data Mining Techniques in an On-Line Hakka Textto-Speech System, Thesis, Institute of Networking and Multimedia, 2011
1050. Veenu Mangat, Natural Intelligence Based Automatic Knowledge Discovery
for Medical Practitioners, Lecture Notes in Electrical Engineering, 1, Volume 103,
Intelligent Automation and Systems Engineering, Pages 53-64
1051. Haoting Liu,Hongwei Zhu,Fenggang Xu,Sugang Wang, Intensity
Classification of the Image Quality Metric Series Using AdaBoost and Co-training
Method, International Symposium on Computer Science and Society, Issue Date:July
2011, pp. 134-137
1052. Jésus Antonio Motta, Laurence Capus, Nicole Tourigny, Insertion of
Ontological Knowledge to Improve Automatic Summarization Extraction Methods,
Journal of Intelligent Learning Systems and Applications, Vol.3 No.3, August 2011
1053. Tobias Ippisch, Telematics Data in Motor Insurance: Creating Value by
Understanding the Impact of Accidents on Vehicle Use, DISSERTATION of the
University of St. Gallen, Graduate School of Business Administration, Economics,
Law, and Social Sciences (HSG), Doctor Oeconomiae
1054. Alessandro Zani, A Statistical Model for the Electricity Spanish Market,
Máster En Gestión Técnico Y Económica En El Sector Eléctrico, Madrid, September
2008
1055. Alessandro Zani, A Statistical Model for the Electricity Spanish Market,
Máster En Gestión Técnico Y Económica En El Sector Eléctrico, Madrid, September
2008
1056. Kriger, C., Tzoneva, R., A neural network model for control of wastewater
treatment processes, 2007
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1057. Debajyoti Karmaker, Hafizur Rahman, Mohammad Saiedur Rahaman, Md.
Kamrul Bari, A Fine Grained Technique for Viral Marketing based on Social
Network: A Machine Learning Approach, International Journal of Science and
Technology, Volume 1 No. 2, August 2011, pp. 89-95
1058. Igor Santos, Felix Brezo, Xabier Ugarte-Pedrero, Pablo G. Bringas, Opcode
Sequences as Representation of Executables for Data-mining-based Unknown
Malware Detection, Information Sciences, In Press, Accepted Manuscript, Available
online 26 August 2011
1059. Igor Santos, Felix Brezo, Xabier Ugarte-Pedrero, Pablo G. Bringas, Opcode
Sequences as Representation of Executables for Data-mining-based Unknown
Malware Detection, Information Sciences, In Press, Accepted Manuscript, Available
online 26 August 2011
1060. Panizzoni, Giulio (2011) Predizione della trasfusione massiva in pazienti
affetti da lesioni traumatiche gravi. [Magistrali biennali], 12 Luglio 2011
1061. Thomas Boulay, Ali Mohammad-Djafari, Nicolas Gac, Julien Lagoutte,
Algorithmes de Reconnaissance Non Coopérative de Cibles et implémentation sur
GPU, "GRETSI, Bordeaux : France (2011)"
1062. Harsha Gurulingappa, Juliane Fluck, Martin Hofmann-Apitius, and Luca
Toldo, Identification of Adverse Drug Event Assertive Sentences in Medical Case
Reports, The First International Workshop on Knowledge Discovery in Health Care
and Medicine (KDHCM 2011), September 9, 2011, Athens, Greece, ECML/PKDD
2011
1063. Johnson, Sandra; Shanmugam, Valli, Effective feature set construction for
SVM-based hot method prediction and optimisation, International Journal of
Computational Science and Engineering, Volume 6, Number 3, August 2011 , pp.
192-205(14)
1064. Wen-Shiung Chen, Lili Hsieh, Wei-Chih Tang, Logitboost-SO Learning
Algorithm for Human Iris Recognition, ICCGI 2011: The Sixth International MultiConference on Computing in the Global Information Technology, pp. 165-170.
1065. César Manuel Vargas Benítez, Chidambaram Chidambaram, Fernanda
Hembecker and Heitor Silvério Lopes, A Comparative Study of Machine Learning
and Evolutionary Computation Approaches for Protein Secondary Structure
Classification, pp. 239-258, ISBN 978-953-307-629-4, publishing date: September
2011
1066. Min Li, ShaoBo Den, Shengzhong Feng, Jianping Fan, An effective
discertization based on Class-Attribute Coherence Maximization, Pattern Recognition
Letters, In Press, Available online 3 September 2011
1067. Denis Ferraretti, Evelina Lamma, Giacomo Gamberoni, Michele Febo and
Raffaele Di Cuia, Integrating Clustering and Classification Techniques: A Case Study
for Reservoir Facies Prediction, Studies in Computational Intelligence, 2011, Volume
369, Emerging Intelligent Technologies in Industry, Pages 21-34
1068. Abhijit Raorane, & R.V.Kulkarni, Data Mining Techniques: A Source For
Consumer Behavior Analysis, International Journal of Database Management
Systems ( IJDMS ), Vol.3, No.3, August 2011DOI: 10.5121/ijdms.2011.3304 45
1069. Yun-fei Jiang, Chun-yan Yu and Nan Shen, A Diffused and Emerging
Clustering Algorithm, Lecture Notes in Electrical Engineering, 1, Volume 98,
Electrical Engineering and Control, Pages 593-598
1070. Yen-Yi Wu, Face Age Classification using Boosting, National Digital Library
of Theses and Dissertations in Taiwan
1071. Yen-Yi Wu, Face Age Classification using Boosting, National Digital Library
of Theses and Dissertations in Taiwan
1072. Kristen L. Pudenz, Daniel A. Lidar, Quantum adiabatic machine learning,
arXiv:1109.0325v1 [quant-ph] 1 Sep 2011
1073. Wilhelmiina Hämäläinen and Mikko Vinni, Classifiers for Educational Data
Mining, Handbook of Educational Data Mining, Edited by Cristóbal Romero,
Sebastian Ventura, Mykola Pechenizkiy, and Ryan S.J.d. Baker, CRC Press, 2010.
1074. Xu Dan-dan, Wang Yong, Cai Li-jun, ISMOTE algorithm for imbalanced data
set, Journal of Computer Applications, Vol 31 (9), 2399-2401.
1075. B. Sanz, I. Santos, C. Laorden, X. Ugarte-Pedrero, and P.G. Bringas On the
Automatic Categorisation of Android Applications. In Proceedings of the 9th IEEE
Consumer Communications and Networking Conference(CCNC2012), Nevada
(USA), 14-17 de Enero 2012, in press.
1076. B. Sanz, I. Santos, C. Laorden, X. Ugarte-Pedrero, and P.G. Bringas On the
Automatic Categorisation of Android Applications. In Proceedings of the 9th IEEE
Consumer Communications and Networking Conference(CCNC2012), Nevada
(USA), 14-17 de Enero 2012, in press.
1077. Maria Koutina and Katia Lida Kermanidis, Predicting Postgraduate Students’
Performance Using Machine Learning Techniques, IFIP Advances in Information and
Communication Technology, 2011, Volume 364, Artificial Intelligence Applications
and Innovations, Pages 159-168
1078. Yang, Y. Y.; Mahfouf, M.; Panoutsos, G.; Zhang, Q.; Thornton, S.;
Adaptive neural-fuzzy inference system for classification of rail quality data with
bootstrapping-based over-sampling, 2011 IEEE International Conference on Fuzzy
Systems (FUZZ), 27-30 June 2011, page(s): 2205 – 2212
1079. Shanab, Ahmad Abu; Khoshgoftaar, Taghi M.; Wald, Randall; Van Hulse,
Jason; Comparison of approaches to alleviate problems with high-dimensional and
class-imbalanced data, 2011 IEEE International Conference on Information Reuse and
Integration (IRI), 3-5 Aug. 2011, page(s): 234 – 239
1080. An ontology-based model for personalized financial planning product design,
2011 2nd International Conference on Artificial Intelligence, Management Science
and Electronic Commerce (AIMSEC), 8-10 Aug. 2011, page(s): 117 – 120
1081. Denis Ferraretti, Evelina Lamma, Giacomo Gamberoni and Michele Febo,
Clustering and Classification Techniques for Blind Predictions of Reservoir Facies,
Lecture Notes in Computer Science, 2011, Volume 6934, AI*IA 2011: Artificial
Intelligence Around Man and Beyond, Pages 348-359
1082. Danuta Zakrzewska, Building Context-Aware Group Recommendations in ELearning Systems, Lecture Notes in Computer Science, 2011, Volume 6922,
Computational Collective Intelligence. Technologies and Applications, Pages 132141
1083. Tadeusz Lasota, Tomasz Łuczak and Bogdan Trawiński, Investigation of
Random Subspace and Random Forest Methods Applied to Property Valuation Data,
Lecture Notes in Computer Science, 2011, Volume 6922, Computational Collective
Intelligence. Technologies and Applications, Pages 142-151
1084. Adrian Bilski, A Review of Artificial Intelligence Algorithms in Document
Classification, International Journal of Electronics and Telecommunications, Volume
57, Number 3 / September 2011, pp. 263-270
1085. Xiao Fu, Yinzi Ren, Guiqiu Yang, Qing Pan, Shijin Gong, Li Li, Jing Yan,
Gangmin Ning, A Computational Model for Heart Failure Stratification, CinC 2011,
18-21 September 2011.
1086. Bradly Alicea, Naturally Supervised Learning in Manipulable Technologies,
Department of Animal Science, Michigan State University
1087. Chi-man Vong, Pak-kin Wong, and Weng-fai Ip. 2011. Case-based expert
system using wavelet packet transform and kernel-based feature manipulation for
engine ignition system diagnosis. Eng. Appl. Artif. Intell. 24, 7 (October 2011), 12811294.
1088. Azmi, Muhammad Sufyian Bin Mohd; Paris, Ikmal Hisyam Bin Mohamad;
Academic performance prediction based on voting technique, 2011 IEEE 3rd
International Conference on Communication Software and Networks (ICCSN), 27-29
May 2011 , page(s): 24 – 27
1089. Emmanuel Chazard, Automated detection of Adverse Drug Events by Data
Mining of Electronic Health Records, PhD Thesis, UNIVERSITE LILLE NORD DE
FRANCE
1090. Barnan Das, Diane J. Cook, Maureen Schmitter-Edgecombe and Adriana M.
Seelye, PUCK: an automated prompting system for smart environments: toward
achieving automated prompting—challenges involved, Personal and Ubiquitous
Computing, In Press
1091. Robert Junges and Franziska Klugl, Modeling Agent Behavior Through
Online Evolutionary and Reinforcement Learning, Proceedings of the Federated
Conference on Computer Science and Information Systems pp. 643–650
1092. Evelina Fedorenko, Alfonso Nieto-Castañon, Nancy Kanwisher, Lexical and
syntactic representations in the brain: An fMRI investigation with multi-voxel pattern
analyses, Neuropsychologia, In Press, Available online 17 September 2011
1093. Hu, Dan; Yu, Xianchuan; Feng, Yuanfu; Reduced error specialization based
on the information content of rule set, 2011 Eighth International Conference on Fuzzy
Systems and Knowledge Discovery (FSKD), 26-28 July 2011, pp. 1485 – 1489,
China
1094. Perols, J., Financial statement fraud detection: An analysis of statistical and
machine learning algorithms, 2011 Auditing 30 (2), pp. 19-50
1095. Jun Yin, Zhonghua Liu, Zhong Jin, Wankou Yang, Kernel sparse
representation based classification, Neurocomputing 77 (1), pp. 120-128
1096. Frederik Hogenboom, Flavius Frasincar, Uzay Kaymak, and Franciska de
Jong, An Overview of Event Extraction from Text, 10th International Semantic Web
Conference, 2011, Germany.
1097. Kulczycki, P., Kowalski, P.A., Bayes classification of imprecise information
of interval type, 2011, Control and Cybernetics 40 (1), pp. 101-123
1098. Adam, A., Shapiai, M.I., Ibrahim, Z., Khalid, M., Jau, L.W. 2011,
Development of a hybrid Artificial Neural Network - Naive Bayes classifier for
binary classification problem of imbalanced datasets, ICIC Express Letters 5 (9 A),
pp. 3171-3175
1099. Adam, A., Shapiai, M.I., Ibrahim, Z., Khalid, M., Jau, L.W. 2011,
Development of a hybrid Artificial Neural Network - Naive Bayes classifier for
binary classification problem of imbalanced datasets, ICIC Express Letters 5 (9 A),
pp. 3171-3175
1100. Adam, A., Shapiai, M.I., Ibrahim, Z., Khalid, M., Jau, L.W. 2011,
Development of a hybrid Artificial Neural Network - Naive Bayes classifier for
binary classification problem of imbalanced datasets, ICIC Express Letters 5 (9 A),
pp. 3171-3175
1101. Qi, Q., Dong, J., Classification of video titles based on description ability,
2011 Huanan Ligong Daxue Xuebao/Journal of South China University of
Technology (Natural Science) 39 (7), pp. 134-139
1102. Te-Kang Jan, Hsuan-Tien Lin, Hsin-Pai Chen, Tsung-Chen Chern, ChungYueh Huang, Bing-Cheng Wen, Chia-Wen Chung, Yung-Jui Li, Ya-Ching Chuang,
Li-Li Li, Yu-Jiun Chan, Juen-Kai Wang,Yuh-Lin Wang, Chi-Hung Lin, Da-Wei
Wang, Cost-Sensitive Classification on Pathogen Species of Bacterial Meningitis by
Surface Enhanced Raman Scattering, BIBM 2011, pp. 390-393.
1103. Andrea Addis, Giuliano Armano and Eloisa Vargiu, Progressive Filtering on
the Web: The Press Reviews Case Study, Studies in Computational Intelligence,
2011, Volume 375, Learning Structure and Schemas from Documents, Pages 143-163
1104. N. Ur-Rahman, J.A. Harding, Textual Data Mining for Industrial Knowledge
Management and Text Classification: A Business Oriented Approach, Expert Systems
with Applications, In Press, Available online 1 October 2011
1105. Neog, D.R., Raza, M.A., Rhee, F.C.-H., An interval type 2 fuzzy approach to
multilevel image segmentation, 2011 IEEE International Conference on Fuzzy
Systems, pp. 1164-1170.
1106. Peker, K., Oguz, C., A model of civil society dialogue on dairy business for
implementation of milk standards, 2011 African Journal of Agricultural Research 6
(12), pp. 2749-2754
1107. Tahseen A. Al-Ramadin, Reduction Technique for Instance-based Learning
Using Distributed Genetic Algorithms, International Journal of Grid and Distributed
Computing, Vol. 4, No. 3, September, 2011, pp. 47-60.
1108. Guangzhi Qu, Hui Wu, Bucket Learning: Improving Model Quality through
Enhancing Local Patterns, Knowledge-Based Systems 27 , pp. 51-59
1109. Laijian You, Construct a concept of cloud computing and data mining system
with association rules and clustering analysis, Master thesis, Institute for Statistics,
China.
1110. C. Correa Farias, A. Moya-González, E. Báguena Isiegas, A. Herrero Langreo,
M. Paz Diago, J. Baluja, J. Tardáguila, C. Valero, P. Barreiro, Extracción de
características de la cubierta vegetal del viñedo mediante imágenes RGB y RGIR
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1111. Stavros Valsamidis and Sotirios Kontogiannis, Ioannis Kazanidis, Alexandros
Karakos, E-Learning Platform Usage Analysis, Interdisciplinary Journal of ELearning and Learning Objects, Volume 7, 2011, pp. 185-204
1112. Stavros Valsamidis and Sotirios Kontogiannis, Ioannis Kazanidis, Alexandros
Karakos, E-Learning Platform Usage Analysis, Interdisciplinary Journal of ELearning and Learning Objects, Volume 7, 2011, pp. 185-204
1113. Dharminder Kumar, Deepak Bhardwaj, Rise of Data Mining: Current and
Future Application Areas, IJCSI International Journal of Computer Science Issues,
Vol. 8, Issue 5, No 1, September 2011, pp. 256-260.
1114. Efraın Mayhua-Lopez, Vanessa Gomez-Verdejo, and Anıbal R. FigueirasVidal, Real AdaBoost with Gate Controlled Fusion, Department of Signal Theory and
Communications, Universidad Carlos III de Madrid.
1115. Shuo Wang, Xin Yao, "Relationships Between Diversity of Classification
Ensembles and Single-Class Performance Measures," IEEE Transactions on
Knowledge and Data Engineering, September 2011, pp. 15-22
1116. Pratibha Rani, and Vikram Pudi (2012). Classification of Biological
Sequences, Pattern Discovery Using Sequence Data Mining: Applications and Studies
(pp. 111-135)
1117. Constanta-Nicoleta Bodea (2012). Business Intelligence and Agile
Methodologies for Knowledge-Based Organizations: Cross-Disciplinary Applications
(pp. 285-312)
1118. Przemyslaw Kazienko, Piotr Doskocz, and Tomasz Kajdanowicz (2012).
Customer Relationship Management and the Social and Semantic Web: Enabling
Cliens Conexus (pp. 271-283)
1119. Zaidoun Alzoabi, Faek Diko, and Saiid Hanna (2012). Business Intelligence
and Agile Methodologies for Knowledge-Based Organizations: Cross-Disciplinary
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1120. Constanta-Nicoleta Bodea, Radu Mogos, and Maria-Iuliana Dascalu (2012).
Virtual Community Building and the Information Society: Current and Future
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1121. Pinar Senkul, Nilufer Onder, Soner Onder, Engin Maden, and Hui Meen
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1122. Fanny Meunier, Sylvie De Cock, Gaëtanelle Gilquin, Magali Paquot, A Taste
for Corpora: In honour of Sylviane Granger (Studies in Corpus Linguistics), 310
pages, Publisher: John Benjamins Publishing Company
1123. Fanny Meunier, Sylvie De Cock, Gaëtanelle Gilquin, Magali Paquot, A Taste
for Corpora: In honour of Sylviane Granger (Studies in Corpus Linguistics), 310
pages, Publisher: John Benjamins Publishing Company
1124. Massimo Brescia, Stefano Cavuoti, Maurizio Paolillo, Giuseppe Longo,
Thomas Puzia, The detection of globular clusters in galaxies as a data mining
problem, Monthly Notices of the Royal Astronomical Society 421 (2) , pp. 1155-1165
1125. Lucas De Oliveira Arantes, Documentação Semântica No Apoio À Integração
De Dados E Rastreabilidade, Universidade Federal Do Espírito Santo, Vitória, 2010
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1127. Maalouf, Maher; Trafalis, Theodore, Rare events and imbalanced datasets: an
overview, International Journal of Data Mining, Modelling and Management, Volume
3, Number 4, October 2011, pp. 375-388(14)
1128. David M Peixotto, Trace-Based Runtime Optimization for Haskell, PhD, 19
August 2011
1129. S. Anupama Kumar and Dr. Vijayalakshmi M.N, Implication Of Classification
Techniques In Predicting Student’s Recital, International Journal of Data Mining &
Knowledge Management Process (IJDKP) Vol.1, No.5, September 2011, pp. 41-51.
1130. Bhagirathi Nayak, C. Nahak, Arun Kr. Misra, Forcasting Of Financial Markets
- Application Of Fuzzy Association Rules, International Journal Of Research In
Commerce, It & Management, Volume No. 1 (2011), Issue No. 5 (October) Issn
2231-5756, pp.1-8.
1131. Chen, Sisi; Measuring the correlation between variables based on the
probability density function estimation, 2011 IEEE International Conference on Cloud
Computing and Intelligence Systems (CCIS), 15-17 Sept. 2011, page(s): 144 – 148
1132. D. M. Shawky and A. F. Ali, A Feature Selection Method Using Misclassified
Patterns, International Journal of Computer Theory and Engineering, Vol. 3, No. 5,
October 2011, pp. 643-651.
1133. Peter Ekstrand Berg, Behavior-based Classification of Botnet Malware, Master
of Science in Information Security, Department of Computer Science and Media
Technology, Gjøvik University College, 2011
1134. Indra Devi, Efficient Fingerprint Recognition Through Improvement of
Feature Level Clustering, Indexing and Matching Using Discrete Cosine Transform,
TR, Indra Ganesan College of Engineering, Tiruchirappalli, India
1135. Washington Okori, Joseph Obua, Supervised Learning Algorithms For Famine
Prediction, Applied Artificial Intelligence, Vol. 25, Iss. 9, 2011
1136. AR Garcia, MB Gerasmio, ML Tuastumban, Milfe Ababa, Editha Dimalen,
BreCaDS: Towards a Breast: Towards a Breast: Towards a Breast Cancer Decision
Support System Cancer Decision Support System, The Mindanao Forum, Vol. XXIII,
No 1, 2010, pp. 43-51
1137. Francisco Calaça XAVIER, Cedric Luiz de CARVALHO, O uso da
Inteligência Artificial no auxílio à tomada de decisões para alocação dinâmica de
recursos, Technical Report - RT-INF_001-11 - Relatório Técnico, June - 2011 –
Junho
1138. Diego Garcia-Saiz, Marta Zorrilla, Comparing classification methods for
predicting distance students' performance, JMLR: Workshop and Conference
Proceedings 17 (2011) 26-32
1139. Christian Correa, Constantino Valero, Pilar Barreiro, Maria P. Diago, and
Javier Tardaguila, A Comparison of Fuzzy Clustering Algorithms Applied to Feature
Extraction on Vineyard, Actas de CAEPIA '11
1140. Luís Marujo, Miguel Bugalho, João P. Neto, Anatole Gershman, Jaime
Carbonell, Hourly Traffic Prediction of News Stories, CARS'11 Context-Aware
Recommender Systems 2011
1141. Christian Micheloni, Asha Rani, Sanjeev Kumar, Gian Luca Foresti, A
balanced neural tree for pattern classification, Neural Networks, Neural Networks 27 ,
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1142. Applying Business Intelligence Concepts to Medicaid Claim Fraud Detection,
Conference for Information Systems Applied Research 2011 CONISAR Proceedings,
Wilmington North Carolina, USA v4 n1836, pp. 1-12.
1143. Jeffrey Tweedale and Lakhmi Jain, Advances in Information Processing
Paradigms, Studies in Computational Intelligence, 2012, Volume 376, Innovations in
Intelligent Machines – 2, Pages 1-17
1144. Anduela Lile, Analyzing E-Learning Systems Using Educational Data Mining
Techniques, ISSN 2039-2117, Mediterranean Journal of Social Sciences, Vol. 2, No.
3, September 2011, pp. 403-419.
1145. Mahdi Tabassian, Reza Ghaderi, Reza Ebrahimpour, Combining
Complementary Information Sources in the Dempster-Shafer Framework for Solving
Classification Problems with Imperfect Labels, Knowledge-Based Systems 27 , pp.
92-102
1146. S.R.Mulik, S.G.Gulawani, Performance Comparison of Data Mining Tools in
Mining Association Rules, IJRIME, Volume1 Issue3, ISSN: 2249- 1619, pp. 330-336
1147. Pratibha Rani, Vikram Pudi, Classification of Biological Sequences, DOI:
10.4018/978-1-61350-056-9.ch007, Copyright © 2012, IGI Global.
1148. G. Garg, Vijander Singh, Mudita Grover, Nidhi , J.R.P Gupta, Optimal Kernel
Learning for EEG based Sleep Scoring System, Int J Biol Med Res. 2011; 2(4): 1220
– 1225
1149. Khalid Abu Al-Saud, Massudi Mahmuddin and Amr Mohamed, Wireless
Body Area Sensor Networks Signal Processing and Communication Framework:
Survey on Sensing, Communication Technologies, Delivery and Feedback, Journal of
Computer Science 8 (1): 121-132, 2012, ISSN 1549-3636
1150. Laci Mary Barbosa Manhães, Sérgio Manuel Serra da Cruz, Raimundo J.
Macário Costa, Jorge Zavaleta, Geraldo Zimbrão, Previsão de Estudantes com Risco
de Evasão Utilizando Técnicas de Mineração de Dados, Programa de Engenharia de
Sistemas e Computação, Anais do XXII SBIE - XVII WIE
1151. Stavros Valsamidis, Sotirios Kontogiannis, Alexandros Karakos, Ioannis
Kazanidis, "A Combined Algorithm for LMS Usage Assessment," pci, pp.358-362,
2011 15th Panhellenic Conference on Informatics, 2011
1152. Anna Kasimati, Efpraxia Zamani, "Education and Learning in the Semantic
Web," pci, pp.338-344, 2011 15th Panhellenic Conference on Informatics, 2011
1153. Roman Joseph Aquino, Joshua Rafael Battad, Charlene Frances Ngo,
Gemilene Uy, Rhia Trogo, Merlin Suarez, "Towards Empathic Music Provision for
Computer Users," kse, pp.245-251, 2011 Third International Conference on
Knowledge and Systems Engineering, 2011, pp. 245-251
1154. Luca Canini, Sergio Benini and Riccardo Leonardi, Classifying
cinematographic shot types, Multimedia Tools and Applications, Online First™, 2
November 2011
1155. Ralph L. Kodell, Chuanlei Zhang, Eric R. Siegel, Radhakrishnan Nagarajan,
Selective voting in convex-hull ensembles improves classification accuracy, Artificial
Intelligence in Medicine, In Press, Available online 6 November 2011
1156. Ghosh, Soumadip; Nag, Amitava; Biswas, Debasish; Singh, Jyoti Prakash;
Biswas, Sushanta; Sarkar, Debasree; Sarkar, Partha Pratim; Weather Data Mining
using Artificial Neural Network, 2011 IEEE Recent Advances in Intelligent
Computational Systems (RAICS), Issue Date: 22-24 Sept. 2011, On page(s): 192 –
195
1157. Christian Correa Farias, Adolfo Moya-González, Eva Báguena Isiegas, Ana
Herrero Langreo, María Paz Diago, Javier Baluja, Javier Tardáguila, Constantino
Valero, Pilar Barreiro. EXTRACCIÓN DE CARACTERISTICAS DE LA
CUBIERTA VEGETAL DEL VIÑEDO MEDIANTE IMÁGENES RGB Y RGIR
OBTENIDAS DE FORMA DINÁMICA, VI Congreso Iberico, 5-7 September, 2011,
pp. 1-10.
1158. Wilson Soto and Amparo Olaya–Benavides, A Genetic Algorithm for
Discovery of Association Rules, JCC2011, 7-11/11/2011.
1159. Esteban Andres Hurtado Leon, An Adaptive Reading Tutor Using Markov
Models To Develop Phonological Awareness, Santiago de Chile, Master of Science in
Engineering, Pontificia Universidad Catolica De Chile, School Of Engineering,
December 2008
1160. Mazni Omar, Sharifah-Lailee Syed-Abdullah and Naimah Mohd Hussin,
Developing a Team Performance Prediction Model: A Rough Sets Approach,
Communications in Computer and Information Science, 1, Volume 252, Informatics
Engineering and Information Science, Part 5, Pages 691-705
1161. Tobias Alexander Große-Puppendahl, Alexander Marinc and Andreas Braun,
Classification of User Postures with Capacitive Proximity Sensors in AALEnvironments, Lecture Notes in Computer Science, 2011, Volume 7040, Ambient
Intelligence, Pages 314-323
1162. Stenudd, S., Using machine learning in the adaptive control of a smart
environment, 2010
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1163. Watson-Haigh, N.S.; O Neill, C.J.; Kadarmideen, H.; Proximity loggers:
data handling and classification for quality Control, IEEE Sensors Journal 12 (5), pp.
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1164. Fabian Abel, Ahmad Ammari, Ilknur Celik, Vania Dimitrova, Claudia Hauff,
Laura Hollink, Geert-Jan Houben , Dhaval Thakker, Immersive Reflective
Experience-based Adaptive Learning, TR of FP7-ICT-2009.4.2: TechnologyEnhanced Learning
1165. Chao Chen, Mei-Ling Shyu, and Shu-Ching Chen, "Data Management
Support via Spectrum Perturbation-based Subspace Classification in Collaborative
Environments," the 7th International Conference on Collaborative Computing:
Networking, Applications and Worksharing (CollaborateCom 2011), Orlando,
Florida, USA, October 15-18, 2011
1166. PENG ZhiMing, XU Chen & JING WenFeng, Sparse Kernel Logistic
Regression Based On L1/2 Regularization, SCIENCE CHINA, January 2011 Vol. 53
No. 1: 1-18
1167. Karel Dejaeger, Frank Goethals, Antonio Giangreco, Lapo Mola, Bart
Baesens, Gaining insight into student satisfaction using comprehensible data mining
techniques, European Journal of Operational Research, In Press, Available online 17
November 2011
1168. Ursani, A. A.; Kpalma, K.; Lelong, C. C. D.; Ronsin, J.; Fusion of Textural
and Spectral Information for Tree Crop and Other Agricultural Cover Mapping With
Very-High Resolution Satellite Images, IEEE Journal of Selected Topics in Applied
Earth Observations and Remote Sensing, 5 (1), 2012, Page(s): 225 - 235
1169. Yusof, Norazah; Mansur, Andi Besse Firdausiah; Othman, Mohd Shahizan;
Ontology of moodle e-learning system for social network analysis, 2011 IEEE
Conference on Open Systems (ICOS), 2011 , Page(s): 122 – 126
1170. Shamsudin, Hasrul Che; Adam, Asrul; Shapiai, Mohd Ibrahim; Basri, Mohd
Ariffanan Mohd; Ibrahim, Zuwairie; Khalid, Marzuki; An Improved Two-Step
Supervised Learning Artificial Neural Network for Imbalanced Dataset Problems,
2011 Third International Conference on Computational Intelligence, Modelling and
Simulation (CIMSiM), 2011 , Page(s): 108 – 113
1171. Kabi G. Daghir, Semantic Document Clustering for Crime Investigation,
Thesis in the Concordia Institute for Information Systems Engineering, Montréal,
Québec, Canada, September 2011
1172. VijayakumarV, Nedunchezhian R., Mining Best-N Frequent Patterns in a
Video Sequence, International Journal on Computer Science and Engineering
(IJCSE), Vol. 3 No. 11 November 2011, pp. 3525-3533
1173. Nazir, M., Arfan Jaffer, M., Hussain, A., Mirza, A.M., Efficient gender
classification using optimization of hybrid classifiers using genetic algorithm, 2011
International Journal of Innovative Computing, Information and Control 7 (12), pp.
7021-7032
1174. Taherkhani, A., Using decision tree classifiers in source code analysis to
recognize algorithms: An experiment with sorting algorithms, 2011 Computer Journal
54 (11), pp. 1845-1860
1175. Leonardo Ornella, Gerardo Cervigni and Elizabeth Tapia, Applications of
Machine Learning in Breeding for Stress Tolerance in Maize, 2012, Crop Stress and
its Management: Perspectives and Strategies, Pages 163-192
1176. Alamiyan, F., Zamanifar, K., Ontology instance matching using distributional
similarity measure, 2011 International Review on Computers and Software 6 (4), pp.
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1177. Zhai, Y., Yang, B., Zhou, F., Sui, H., Liu, L., An ensemble classifier model
for classification of imbalanced datasets under the heterogeneous classifier fusion
environment, 2011 Gaojishu Tongxin/Chinese High Technology Letters 21 (10), pp.
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1178. Sonja Fink Babič, Roberto Biloslavo, Corporate Sustainability Reporting:
Opportunities And Challenges In A Post-Transition Country, Proceedings of the 12th
Management International Conference Portorož, Slovenia, 23–26 November 2011, pp.
707-722
1179. Baker, P. C.; Mair, A. J.; Judd, M. D.; An automated classifier for
asynchronous diagnosis of partial discharge defects, 2011 16th International
Conference on Intelligent System Application to Power Systems (ISAP), Issue Date:
25-28 Sept. 2011, page(s): 1 – 6
1180. Ahuva Cern, Alexander Golbraikh, Aleck Sedykh, Alexander Tropsha,
Yechezkel Barenholz, Amiram Goldblum, Quantitative structure – property
relationship modeling of remote liposome loading of drugs, Journal of Controlled
Release, 160 (2) , pp. 147-157
1181. V.F. Rodriguez-Galiano, B. Ghimire, J. Rogan, M. Chica-Olmo, J.P. RigolSanchez, An assessment of the effectiveness of a random forest classifier for landcover classification, ISPRS Journal of Photogrammetry and Remote Sensing, Volume
67, January 2012, Pages 93-104
1182. Zuriani Mustaffa, Yuhanis Yusof, Optimizing LSSVM Using ABC For NonVolatile Financial Prediction, Australian Journal of Basic and Applied Sciences,
5(11): 549-556, 2011
1183. Jayanthi. J, Suresh Joseph. K, Vaishnavi. J, Bankruptcy Prediction using SVM
and Hybrid SVM Survey, International Journal of Computer Applications (0975 –
8887), Volume 34– No.7, November 2011, pp. 39-45
1184. Maintaining imbalance highly dependent medical data using dirichlet process
data generation, 2011 Sixth International Conference on Digital Information
Management (ICDIM), 26-28 Sept. 2011, page(s): 18 – 22, Melbourne, Australia
1185. Barnan Das, Narayanan C. Krishnan, Diane J. Cook, Automated Activity
Interventions to Assist with Activities of Daily Living, IOS Press book on AgentBased Approaches to Ambient Intelligence, 2012
1186. Tsung-Nan Tsai, Development of a soldering quality classifier system using a
hybrid data mining approach, Expert Systems with Applications, In Press, Available
online 8 December 2011
1187. Guohua Liang, Xingquan Zhu and Chengqi Zhang, An Empirical Study of
Bagging Predictors for Imbalanced Data with Different Levels of Class Distribution,
Lecture Notes in Computer Science, 2011, Volume 7106, AI 2011: Advances in
Artificial Intelligence, Pages 213-222
1188. C.V. KrishnaVeni, T. Sobha Rani, On the Classification of Imbalanced
Datasets, IJCST Vol. 2, SP 1, December 2011, pp. 145-148.
1189. C.V. KrishnaVeni, T. Sobha Rani, On the Classification of Imbalanced
Datasets, IJCST Vol. 2, SP 1, December 2011, pp. 145-148.
1190. Sai Prasad P.S.V.S. and Chillarige Raghavendra Rao, Extensions to
IquickReduct, Lecture Notes in Computer Science, 2011, Volume 7080, Multidisciplinary Trends in Artificial Intelligence, Pages 351-362
1191. Greicius, Michael D., Menon, Vinod, Methods of classifying cognitive states
and traits and applications thereof, United States Patent Application 20110301431
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1192. MANISH KUMAR SINGHAL and VINEET RICHHARIYA, An Efficient
Association Rule mining without Pre-assign weight, Int. J. of Electrical, Electronics
and Computer Engineering (IJEECE) Vol 1(1): 8‐42(2011)
1193. Kathleen Pittman, Comparison of data mining techniques used to predict
student retention, Nova Southeastern University. Information Systems
1194. Michael Makovoz, Utilization of semantic linking and visualization
techniques to facilitate knowledge creation from textual software artifacts, Nova
Southeastern University. Computer Information Systems (MCIS, DCIS).
1195. Pradeep Kumar, P. Radha Krishna, S. Bapi Raju, Pattern Discovery Using
Sequence Data Mining: Applications and Studies, Igi Global, 30 Σεπ 2011 - 485
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1196. Mai Shouman, Tim Turner, Rob Stocker, Using Decision Tree for Diagnosing
Heart Disease Patients, Proceedings of the 9-th Australasian Data Mining Conference
(AusDM'11), Ballarat, Australia, pp. 23-29.
1197. Md. Geaur Rahman and Md. Zahidul Islam, A Decision Tree-based Missing
Value Imputation Technique for Data Pre-processing, Proceedings of the 9-th
Australasian Data Mining Conference (AusDM'11), Ballarat, Australia, pp. 41-50
1198. Bruna Vieira Ventura, Aydano Pamponet Machado, Renato Ambrósio Jr.,
Guilherme Ribeiro, Luana Nogueira Araújo, Edileuza Leão, Evandro Costa, João
Marcelo Lyra, Analysis of corneal biomechanical parameters for keratoconus
diagnosis, Poster, Oftalmologia 2012
1199. Yan Zhiyong and Xu Congfu, Analyzing the Classifier using the Knowledge
Hierarchy, ICAI'11, The 2011 International Conference on Artificial Intelligence
1200. Mladenov, M.I., Penchev, S.M., Dejanov, M.P., Mustafa, M.S., Quality
assessment of corn grain sample using color image analysis, 2011 Sensing and
Instrumentation for Food Quality and Safety 5 (3-4), pp. 111-127
1201. Prabha Verma and R. D. S. Yadava, Genetic Algorithm Assisted Enhancement
in Pattern Recognition Efficiency of Radial Basis Neural Network, Lecture Notes in
Computer Science, 2011, Volume 7076, Swarm, Evolutionary, and Memetic
Computing, Pages 257-264
1202. Huaxiang Zhang and Zhichao Wang, A Normal Distribution-Based OverSampling Approach to Imbalanced Data Classification, Lecture Notes in Computer
Science, 2011, Volume 7120, Advanced Data Mining and Applications, Pages 83-96
1203. Anima Singh, John V. Guttag, Learning Classification Trees for Personalized
Cardiovascular Risk Stratification, NIPS 2011 workshop on "From Statistical
Genetics to Predictive Models in Personalized Medicine (NIPS PM 2011)", Spain,
December 16, 2011
1204. Bhaktikul, K., Anujit, R., To-im, J. Estimation of crop coefficient of corn
(Kccorn) under climate change scenarios using data mining technique,
EnvironmentAsia 5 (1), pp. 56-62
1205. Julie Callaert, Joris Grouwels and Bart Van Looy, Delineating the scientific
footprint in technology: Identifying scientific publications within non-patent
references, Scientometrics 91 (2) , pp. 383-398
1206. Rachid Benmokhtar and Benoit Huet, An ontology-based evidential
framework for video indexing using high-level multimodal fusion, Multimedia Tools
and Applications, Online First™, 23 December 2011
1207. Siraj, F., Yusoff, M.H., Haris, M.F., Salahuddin, M.A., Yusof, S.R.M., Hasan,
i-SME: Loan decision support system using neuro-CBR approach , Md.R. 2011
Proceedings - CIMSim 2011: 3rd International Conference on Computational
Intelligence, Modelling and Simulation , art. no. 6076338, pp. 91-96
1208. Ding-Kuo Huang, Chi-Feng Chen, Supervised learning method and quality
capability of process used in an optical transmission inspection of on-line nonwoven
basis weight, Optics Communications 285 (8) , pp. 2106-2112
1209. Binxuan SUN, Jiarong LUO, Shuangbao SHU, Nan YU, Approaches to
Combine Techniques Used by Ensemble Learning Methods, Journal of Computational
Information Systems 8: 1 (2012) 305–312
1210. Constanta-Nicoleta Bodea (2012). Business Intelligence in Higher Education:
An Ontological Approach, Business Intelligence and Agile Methodologies for
Knowledge-Based Organizations: Cross-Disciplinary Applications (27 pages).
1211. Przemyslaw Kazienko, Piotr Doskocz and Tomasz Kajdanowicz (2012).
Social Network Analysis in Marketing, Customer Relationship Management and the
Social and Semantic Web: Enabling Cliens Conexus (12 pages).
1212. Zaidoun Alzoabi, Faek Diko and Saiid Hanna (2012). Suggested Model for
Business Intelligence in Higher Education, Business Intelligence and Agile
Methodologies for Knowledge-Based Organizations: Cross-Disciplinary Applications
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1213. Constanta-Nicoleta Bodea, Maria-Iuliana Dascalu and Adina Lipai (2012).
Clustering of the Web Search Results in Educational Recommender Systems,
Educational Recommender Systems and Technologies: Practices and Challenges (27
pages).
1214. Werner Kurschl, Mario Buchmayr, Barbara Franz and Margit Mayr (2012).
Situation-Aware Ambient Assisted Living and Ambient Intelligence Data Integration
for Efficient Eldercare, E-Healthcare Systems and Wireless Communications: Current
and Future Challenges (33 pages).
1215. Constanta-Nicoleta Bodea, Radu Mogos and Maria-Iuliana Dascalu (2012).
How e-Learning Experience Enhances the Social Presence in Community of Practice:
An Empirical Analysis, Virtual Community Building and the Information Society:
Current and Future Directions (45 pages).
1216. Pinar Senkul, Nilufer Onder, Soner Onder, Engin Maden and Hui Meen Nyew
(2012). Discovering Patterns for Architecture Simulation by Using Sequence Mining,
Pattern Discovery Using Sequence Data Mining: Applications and Studies (24 pages).
1217. Constanta-Nicoleta Bodea, Vasile Bodea and Radu Mogos (2012).
Institutional Research Using Data Mining: A Case Study in Online Programs,
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1218. Christopher L. Mutel, Stephan Pfister, and Stefanie Hellweg, GIS-Based
Regionalized Life Cycle Assessment: How Big Is Small Enough? Methodology and
Case Study of Electricity Generation, Environmental Science and Technology 46 (2) ,
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Videos using Decision Trees, (IJACSA) International Journal of Advanced Computer
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1221. Chen, Y.-S., Hsu, C.-S. and Siao, Y.-G. (2011), Linear regression-based
delay-bounded routing protocols for VANETs. Wireless Communications and Mobile
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1222. Zlatko J. Kovačić, Predicting student success by mining enrolment data,
Research in Higher Education Journal
1223. Shaobo Huang, Predictive Modeling and Analysis of Student Academic
Performance in an Engineering Dynamics Course, Utah State University
1224. Ashraf, Mohammad; Le, Kim; Huang, Xu; Iterative weighted k-NN for
constructing missing feature values in Wisconsin breast cancer dataset, 2011 3rd
International Conference on Data Mining and Intelligent Information Technology
Applications (ICMiA), pp. 23 – 27
1225. Saadi Ahmad Kamaruddin and Ibrahim Shogar, Artificial Neural Network and
Its Islamic Relevance, Revelation and Science, Vol. 01, No.03 (1433H/2011) 138-148
1226. Mr. Ravindra Gupta, Prateek Gupta, Fast Processing of Web Usage Mining
with Customized Web Log Pre-processing and modified Frequent Pattern Tree,
International Journal of Computer Science & Communication Networks,Vol 1(3),
277-279
1227. Adams, Hans-peter, Hinzmann, Bernd, Mayr, Tobias, Rosenthal, André,
Method and kits for diagnosing colorectal cancer, European Patent Application
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1228. Hong-ning Li, Jie Feng, Wei-ping Yang, Xiang-sheng Wu, Ze-dong Li,
Wei Liu, Spectrum-based method for quantitatively detecting diseases on cucumber
leaf, CORD Conference Proceedings, pp. 1971- 1974, 10.1109/CISP.2011.6100651
1229. Paredes, S., Rocha, T., De Carvalho, P., Henriques, J., Rasteiro, D., Morals, J.,
Ferreira, J., Mendes, M. 2011, Fusion of risk assessment models with application to
coronary artery disease patients, Proceedings of the Annual International Conference
of the IEEE Engineering in Medicine and Biology Society, EMBS , pp. 872-875
1230. Fan Xue, C. Y. Chan, W. H. Ip and C. F. Cheung, A learning-based variable
assignment weighting scheme for heuristic and exact searching in Euclidean traveling
salesman problems, NETNOMICS, Online First™, 4 January 2012
1231. Mutalib, Sofianita; Azman, Nor Aina; Abdul-Rahman, Shuzlina; Predicting
patients survival using supervised techniques, 2011 11th International Conference on
Hybrid Intelligent Systems (HIS), Date: 5-8 Dec. 2011, 616 – 620
1232. Khoat Than, Tu-Bao Ho, A geometric interpretation of Bayesian classification
methods, TR, Japan Advanced Institute of Science and Technology
1233. Casey Bennett, The Interaction of Entropy-Based Discretization and Sample
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1234. Adam, Asrul; Chew, Lim Chun; Shapiai, Mohd Ibrahim; Jau, Lee Wen;
Ibrahim, Zuwairie; Khalid, Marzuki; A Hybrid Artificial Neural Network-Naive
Bayes for solving imbalanced dataset problems in semiconductor manufacturing test
process, 2011 11th International Conference on Hybrid Intelligent Systems (HIS),
Date: 5-8 Dec. 2011, page(s): 133 – 138
1235. Ali, Rozniza; Hussain, Amir; Bron, James E.; Shinn, Andrew P.; Multi-stage
classification of Gyrodactylus species using machine learning and feature selection
techniques, 2011 11th International Conference on Intelligent Systems Design and
Applications (ISDA), Date: 22-24 Nov. 2011, page(s): 457 – 462
1236. Kang Zhao, Segmentation and Classification of TB with AdaBoost, MSc
thesis, Electrical Engineering of the Eindhoven University, 2011
1237. Te-Kang Jan,Hsuan-Tien Lin,Hsin-Pai Chen,Tsung-Chen, Chern,Chung-Yueh
Huang,Bing-Cheng Wen,Chia-Wen Chung,Yung-Jui, Li,Ya-Ching Chuang,Li-Li
Li,Yu-Jiun Chan,Juen-Kai Wang,Yuh-Lin, Wang,Chi-Hung Lin,Da-Wei Wang, CostSensitive Classification on Pathogen Species of Bacterial Meningitis by Surface
Enhanced Raman Scattering, IEEE International Conference on Bioinformatics and
Biomedicine, Date:November 2011, pp. 390-393
1238. Hong-Jun Yoon,Ching-Chung Li,Christhunesa Christudass,Robert
Veltri,Jonathan I. Epstein,Zhen Zhang, Cardinal Multiridgelet-based Prostate Cancer
Histological Image Classification for Gleason Grading, IEEE International
Conference on Bioinformatics and Biomedicine, Date:November 2011, pp. 315-320
1239. Martín López-Nores,Yolanda Blanco-FernÂndez,José J. Pazos-Arias,Jorge
García-Duque,Manuela I. Martín-Vicente, Enhancing Recommender Systems with
Access to Electronic Health Records and Groups of Interest in Social Networks,
International IEEE Conference on Signal-Image Technologies and Internet-Based
System, Date:December 2011, pp. 105-110
1240. Joseph King-Fung Pun, Improving Credit Card Fraud Detection using a MetaLearning Strategy, Master of Applied Science, Department of Chemical Engineering
and Applied Chemistry, University of Toronto, 2011
1241. Tripathi, N., Oakes, M., Wermter, S. Hybrid classifiers for improved semantic
subspace learning of news documents. International Conference on Hybrid Intelligent
Systems (HIS), Malacca, Malaysia, pp. 28-33, 2011
1242. Qiong Liu and Ying Wu, Supervised Learning, 2012, Encyclopedia of the
Sciences of Learning, Part 19, Pages 3243-3245
1243. R.J. Kuo, Y.J. Syu, Zhen-Yao Chen, F.C. Tien, Integration of Particle Swarm
Optimization and Genetic Algorithm for Dynamic Clustering, Information Sciences,
Volume 195, 15 July 2012, Pages 124-140
1244. Rizauddin Saian,Ku Ruhana Ku-Mahamud, Hybrid Ant Colony Optimization
and Simulated Annealing for Rule Induction, UKSIM European Symposium on
Computer Modeling and Simulation, November 2011, pp. 70-75
1245. Thibaud Raby, Frédéric Ravaut, Utilisation d’ontologies dans une application
médicale décisionnelle, SMS 2011 : Symposium Mobilité et Santé : Innovations,
Usages, Perspectives
1246. HUANG Li-jin, SHI Jun, ZHONG Jin, Data Dimension Reduction Based on
Kernel Entropy Component Analysis, Computer Engineering, Vol.38 No.2
1247. Anthony Michael King, The effect of temperature on biological control of
water hyacinth, Eichhornia crassipes (Pontederiaceae) in South Africa, MSc thesis,
Johannesburg, 2011
1248. Dundas, J., Law of connectivity in machine learning, 2010, International
Journal of Simulation: Systems, Science and Technology, 11 (6) , pp. 22-32
1249. M. Perez-Ortiz, C. Hervas-Martnez, L. Garcia-Hernandez, L. Salas-Morera, A.
Arauzo-Azofra, Tecnicas de clasificacion ordinal aplicadas a un problema de
distribucion en planta, MAEB'2012
1250. Zhao Juan, Wang Mingchun, Liu Kun, Wang Can, Discretization Based on
Positive Domain and Information Entropy, 2011 Seventh International Conference on
Computational Intelligence and Security, Sanya, Hainan China, December 03December 04, ISBN: 978-0-7695-4584-4
1251. Badhiye S. S., Dr. Chatur P. N., Wakode B. V., Temperature and Humidity
Data Analysis for Future Value Prediction using Clustering Technique: An Approach,
International Journal of Emerging Technology and Advanced Engineering, Volume 2,
Issue 1, January 2012), pp. 88-91
1252. Badhiye S. S., Dr. Chatur P. N., Wakode B. V., Temperature and Humidity
Data Analysis for Future Value Prediction using Clustering Technique: An Approach,
International Journal of Emerging Technology and Advanced Engineering, Volume 2,
Issue 1, January 2012), pp. 88-91
1253. M.B. Waghmare, Dr. P. N. Chatur, Temperature and Humidity Analysis using
Data Logger of Data Acquisition System: An Approach, International Journal of
Emerging Technology and Advanced Engineering, Volume 2, Issue 1, January 2012),
pp. 102-106.
1254. M.B. Waghmare, Dr. P. N. Chatur, Temperature and Humidity Analysis using
Data Logger of Data Acquisition System: An Approach, International Journal of
Emerging Technology and Advanced Engineering, Volume 2, Issue 1, January 2012),
pp. 102-106.
1255. Jakkrit TeCho, Cholwich Nattee, Thanaruk Theeramunkong, Boosting-based
ensemble learning with penalty profiles for automatic Thai unknown word
recognition, Computers & Mathematics with Applications, Volume 63 Issue 6
1256. Jakkrit TeCho, Cholwich Nattee, Thanaruk Theeramunkong, Boosting-based
ensemble learning with penalty profiles for automatic Thai unknown word
recognition, Computers & Mathematics with Applications, In Press, Available online
30 January 2012
1257. Jakkrit TeCho, Cholwich Nattee, Thanaruk Theeramunkong, Boosting-based
ensemble learning with penalty profiles for automatic Thai unknown word
recognition, Computers & Mathematics with Applications, In Press, Available online
30 January 2012
1258. Jakkrit TeCho, Cholwich Nattee, Thanaruk Theeramunkong, Boosting-based
ensemble learning with penalty profiles for automatic Thai unknown word
recognition, Computers & Mathematics with Applications, In Press, Available online
30 January 2012
1259. Ravindra Gupta, Prateek Gupta, Application Oriented Web Usage Mining
with Customized Web Log Preprocessing & Frequent Pattern Tree, International
Journal of Engineering Research and Applications (IJERA), ISSN: 2248-9622, Vol. 2,
Issue 1,Jan-Feb 2012, pp.596-598
1260. Ahmad Khan, M. Arfan Jaffar and Tae-Sun Choi, SOM and fuzzy based color
image segmentation, Multimedia Tools and Applications, DOI: 10.1007/s11042-0121003-6
1261. Michael Siering, ""Boom" or "Ruin"--Does It Make a Difference? Using Text
Mining and Sentiment Analysis to Support Intraday Investment Decisions," hicss,
pp.1050-1059, 2012 45th Hawaii International Conference on System Sciences, 2012
1262. Dinesh R. Pai, Kenneth D. Lawrence, Ronald K. Klimberg, Sheila M.
Lawrence, Experimental comparison of parametric, non-parametric, and hybrid
multigroup classification, Expert Systems with Applications, In Press, Available
online 4 February 2012
1263. Gui-Fu Lu, Jian Zou, Yong Wang, Incremental learning of complete linear
discriminant analysis for face recognition, Knowledge-Based Systems 31 , 2012, pp.
19-27
1264. Tao Guo and Guiyang Li, Improved Tri-training with Unlabeled Data,
Advances in Intelligent and Soft Computing, 2012, Volume 115, Software
Engineering and Knowledge Engineering: Theory and Practice, Pages 139-147
1265. Jarek Krajewskia, Sebastian Schniedera, David Sommerb, Anton Batlinerc,
Björn Schullerd, Applying multiple classifiers and non-linear dynamics features for
detecting sleepiness from speech, Neurocomputing, Available online 31 December
2011
1266. Halaby, A.; Awad, M.; Khanna, R.; Guided Search Space Genetic
Programming for identifying energy aware microarchitectural designs, 2010
International Conference on Energy Aware Computing (ICEAC), 16-18 Dec. 2010,
page(s): 1 – 3, Location: Cairo
1267. Ahmad Abu Shanab, Taghi M. Khoshgoftaar, Randall Wald, "Impact of Noise
and Data Sampling on Stability of Feature Selection," icmla, vol. 1, 10th International
Conference on Machine Learning and Applications and Workshops, 2011, pp.172177, 2011
1268. Sonja Fink Babiè, Roberto Biloslavo, Trajnostno poroèanje podjetij:
priložnosti in izzivi, Organizacija, letnik 45 Razprave, januar-februar 2012
1269. E. Quero, J. L. Perez-Benedito, M. J. García-Martínez, P. Segarra Catasús,
Efficient Management Of The Continuous Evaluation Systems. Integration Of The
Personal Desktop With Moodle, ARBOR Ciencia, Pensamiento y Cultura, Vol. 187 Extra 3 - diciembre (2011) 201-206 ISSN: 0210-1963, doi: 10.3989/arbor.2011.Extra3n3145
1270. Richard Hewitt, Evaluation of Strategic Software Investments For The
Canadian Cabinet Industry, Msc Thesis, The University Of British Columbia
(Vancouver), December 2011
1271. Swati Jaiswal, Neeraj Gupta, Hina Shrivastava, Enhancing the features of
Intrusion Detection System by using machine learning approaches, International
Journal of Scientific and Research Publications, Volume 2, Issue 2, February 2012,
pp. 166- 170.
1272. Matthias W. Uhl, Measuring Media Sentiment – Essays on Its Impact on the
Economy and the Financial Markets, KOF Swiss Economic Institute, ETH Zurich
1273. Liu Dedong, Zhu Lei, Zhang Juan, Liang Jinyan, Select the Optimal
Ecological Bank-Protection Technique for Plain-Area Channel Using AHP, Journal of
Convergence Information Technology(JCIT), Volume7, Number1, January 2012, pp.
214-221.
1274. M.A.H. Farquad, Indranil Bose, Preprocessing unbalanced data using support
vector machine, Decision Support Systems, In Press, Accepted Manuscript, Available
online 14 February 2012
1275. Tarik Veli Mumcu, Ibrahim Aliskan, Kayhan Gulez and Gurkan Tuna,
Histogram Based Color Object Classification by Multi-class Support Vector Machine,
Lecture Notes in Computer Science, 2012, Volume 6838, Advanced Intelligent
Computing, Pages 218-225
1276. Tarik Veli Mumcu, Ibrahim Aliskan, Kayhan Gulez and Gurkan Tuna,
Histogram Based Color Object Classification by Multi-class Support Vector Machine,
Lecture Notes in Computer Science, 2012, Volume 6838, Advanced Intelligent
Computing, Pages 218-225
1277. Denis Ferraretti, Giacomo Gamberoni, Evelina Lamma, Unsupervised and
Supervised Learning in cascade for Petroleum Geology, Expert Systems with
Applications, In Press, Accepted Manuscript, Available online 19 February 2012
1278. Raorane A.A., Kulkarni R.V. and Jitkar B.D., Association Rule – Extracting
Knowledge Using Market Basket Analysis, Research Journal of Recent Sciences,
ISSN 2277-2502, Vol. 1(2), 19-27, Feb. (2012)
1279. R. Kalaichelvi Chandrahasan, Angeline Christobel Y, Usha Rani Sridhar,
Arockiam L, An Empirical Comparison of Boosting and Bagging Algorithms,
(IJCSIS) International Journal of Computer Science and Information Security,Vol. 9,
No. 11, November 2011
1280. L.Mohan, Dr.T.Venu Gopal, B. Ranjitha, Discovering Usage Patterns from
Web Data Using Web Usage Mining, International Journal of Electronics
Communication and Computer Engineering, Volume 3, Issue (1) NCRTCST, ISSN
2249 –071X
1281. Shalini, D. V. S.; Shashi, M.; Sowjanya, A. M.; , "Mining frequent patterns of
stock data using hybrid clustering," 2011 Annual IEEE India Conference (INDICON),
pp.1-4, 16-18 Dec. 2011
1282. XU Dan-dan, CAI Li-jun, WANG Yong, Improved Over-sampling Algorithm
of Minority Class Sample, Computer Engineering, Vol.38 No.4, February 2012, pp.
67-69.
1283. Pedro Latorre Carmona, Jose Martınez Sotoca and Filiberto Pla, Filter-Type
Variable Selection Based on Information Measures for Regression Tasks, Entropy
2012, 14, 323-343; doi:10.3390/e14020323
1284. Ahmed Hmaidan BaniMustafa, Nigel W. Hardy, A Strategy for Selecting Data
Mining Techniques in Metabolomic, Plant Metabolomics : Methods and Protocols,
Series: Methods in Molecular Biology, Volume: 860, Page Range: 317-333 | DOI:
10.1007/978-1-61779-594-7_1
1285. S.N. Omkar, Rithu Leena John, B.M. Giridhar, K.P. Yeshavanta, Nikita
Choudhry, Crop Classification Using Gene Expressionprogramming Technique,
Department of Aerospace Engineering, Indian Institute of Science , Bangalore, India
1286. Ahmad Ammari, Vania Dimitrova and Dimoklis Despotakis, Identifying
Relevant YouTube Comments to Derive Socially Augmented User Models: A
Semantically Enriched Machine Learning Approach, Lecture Notes in Computer
Science, 2012, Volume 7138, Advances in User Modeling, Pages 71-85
1287. Ni, H., Wang, W., Pang, C., Yu, J., Classifying judging states from fMRI data
of visual recognition task, 2011, 1st International Workshop on Complexity and Data
Mining, IWCDM 2011 , pp. 47-50
1288. Alifard, A., Shadgar, B., Osareh, A., An experimental observation-based
ontology evolution framework, 2011, International Review on Computers and
Software 6 (5) , pp. 827-833
1289. Nayak, B., Prasad, S., A study of association rule data mining approaches and
its current research directives on large databases, 2011, International Review on
Computers and Software 6 (5) , pp. 774-783
1290. Mauro Garofalo, GPU Computing for Machine Learning Algorithms, Corso di
Studi in Ingegneria Informatica, Napoli Federico II.
1291. Neshatian, K.; Zhang, M.; Andreae, P.; , "A Filter Approach to Multiple
Feature Construction for Symbolic Learning Classifiers Using Genetic
Programming," IEEE Transactions on Evolutionary Computation, in press, doi:
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1292. Ammar, Reda A.; Sallam, Al sayed A. H.; Sarhan, Amany M.; Ragab, HebatAllah M.; , "Achieving the workload balance of the clusters," 2011 IEEE International
Symposium on Signal Processing and Information Technology (ISSPIT), pp.086-092,
14-17 Dec. 2011
1293. Badhiye S. S., Wakode B. V., Chatur P. N., Analysis of Temperature and
Humidity Data for Future value prediction, International Journal of Computer Science
and Information Technologies, Vol. 3 (1) , 2012, 3012 – 3014
1294. Badhiye S. S., Wakode B. V., Chatur P. N., Analysis of Temperature and
Humidity Data for Future value prediction, International Journal of Computer Science
and Information Technologies, Vol. 3 (1) , 2012, 3012 – 3014
1295. Anuj Sharma and Prabin Kumar Panigrahi. Article: A Review of Financial
Accounting Fraud Detection based on Data Mining Techniques. International Journal
of Computer Applications 39(1):37-47, February 2012.
1296. Marcin Czajkowski, Marek Kretowski, An Evolutionary Algorithm for Global
Induction of Regression and Model Trees, Int. J. Data Mining, Modelling and
Management, In Press
1297. JianJiao Chen, Anping Song, Wu Zhang, Hybrid K-harmonic Clustering
Approach for High Dimensional Gene Expression Data, Journal of Convergence
Information Technology(JCIT), Volume7, Number3, February 2012, 39-49.
1298. Jasjeet Rathore, Muhammad Azam, Saroj Koul, Climate Trend Analysis and
Global Warming, Seventh AIMS International Conference on Management,
December 20-23, 2009, 622-628.
1299. Raseeda Hamzah, Feature extraction and classification of Cardiotocogram
signal to detect fetal condition, Msc Thesis, University Malaya, 2010
1300. กฤติยาภรณ์ คุณสุข, วรัญู วงษ์เสรี, Classification of Hydroponics System
Case Study: Deep Flow Technique and Nutrient Film Technique, CIT 2012
1301. Nandita Tripathi, Michael Oakes and Stefan Wermter, A Fast Subspace Text
Categorization Method Using Parallel Classifiers, Lecture Notes in Computer
Science, 2012, Volume 7182, Computational Linguistics and Intelligent Text
Processing, Pages 132-143
1302. Cantú, F., Saiegh, S.M., Fraudulent Democracy? An analysis of Argentina's
Infamous Decade using supervised machine learning, 2011, Political Analysis 19 (4) ,
pp. 409-433
1303. Youssef Bassil, Neural Network Model for Path-Planning of Robotic Rover
Systems, International Journal of Science and Technology, Volume 2 No.2, February
2012, pp. 94-100.
1304. Dustin Baumgartner, Gursel Serpen, A design heuristic for hybrid
classification ensembles in machine learning, Intelligent Data Analysis, Volume 16,
Number 2 / 2012, Pages 233-246.
1305. Guangcai Zhang, Aiguo Xu and Guo Lu, General Index and Its Application in
MD Simulations, Molecular Interactions, pp. 361-400
1306. C. Vinothini and M. Kalimuthu, A Dynamic Memory Adaptive Approach to
Mine Frequent Pattern in Large Scale Databases, Bonfring International Journal of
Software Engineering and Soft Computing, Volume: 2 | Issue: Special Issue 1, Pages:
01-05
1307. Sushama Rana, Wajid Ali, Gulista Khan, Investiture of Decision Tree Able to
Handle- The Categorical and Numerical, International Journal of Computer
Information Systems, Vol. 3, No. 2, 2011, pp. 43-48.
1308. Azucena Medina Vázquez, Discretización De Datos Colposcópicos Usando
Cómputo Inspirado En La Naturaleza, Maestra en Computación Aplicada, Xalapa,
Veracruz, México Febrero 10, 2012
1309. Nandlal Shukla, Satish K. Singh, Secure XML Data Mining Using XSLT,
Xquery and RBAC Model, International Journal of Electronics, Communication &
Soft Computing Science and Engineering (IJECSCSE), Volume 1, Issue 1, pp. 6-12.
1310. Yu ChuanShuai, Xu Kejia, Zeng Li, Supervised Classification Based On
Labeled Kernel PCA, Energy Procedia, Volume 13, 2011, Pages 3507-3512
1311. Kartik Nathan, A Framework for Measurement Anomaly Detection in Sensor
Networks, Degree of Master of Science in Computer Science, ROCHESTER
INSTITUTE OF TECHNOLOGY, 2009
1312. P. A. Gutiérrez, M. Pérez-Ortiz, F. Fernández-Navarro, J. Sánchez-Monedero
and C. Hervás-Martínez, An Experimental Study of Different Ordinal Regression
Methods and Measures, Lecture Notes in Computer Science, 2012, Volume 7209,
Hybrid Artificial Intelligent Systems, Pages 296-307
1313. Tadeusz Lasota, Zbigniew Telec, Bogdan Trawiński and Grzegorz Trawiński,
Investigation of Rotation Forest Ensemble Method Using Genetic Fuzzy Systems for
a Regression Problem, Lecture Notes in Computer Science, 2012, Volume 7196,
Intelligent Information and Database Systems, Pages 393-402
1314. Nilima Patil, Rekha Lathi, Application of Data mining algorithms for
Customer Classification, International Conference on Advances in Computing and
Management – 2012, pp. 14-16.
1315. A. S. Galathiya, A. P. Ganatra and C. K. Bhensdadia, Improved Decision Tree
Induction Algorithm with Feature Selection, Cross Validation, Model Complexity and
Reduced Error Pruning, (IJCSIT) International Journal of Computer Science and
Information Technologies, Vol. 3 (2) , 2012,3427-3431
1316. Vo, Thi Ngoc Chau; Nguyen, Hua Phung; A Knowledge-Driven Educational
Decision Support System, 2012 IEEE RIVF International Conference on Computing
and Communication Technologies, Research, Innovation, and Vision for the Future
(RIVF), Page(s): 1 – 6
1317. Ogunde, A.O., Folorunso, O., Sodiya, A.S., Oguntuase, J.A., Towards an
adaptive multi-agent architecture for association rule mining in distributed databases,
(2011) 3rd IEEE International Conference on Adaptive Science and Technology,
ICAST 2011, pp. 31-36.
1318. Ivancevic, V., Celikovic, M., Lukovic, I., Analysing student spatial
deployment in a computer laboratory, (2011) EDM 2011 - Proceedings of the 4th
International Conference on Educational Data Mining, pp. 271-275.
1319. Girisha Garg, Vijander Singh, J. R. P. Gupta and A. P. MittalWrapper based
wavelet feature optimization for EEG signals, Biomedical Engineering Letters, 2012,
Volume 2, Number 1, Pages 24-37
1320. Borfecchia, F., Pollino, M., de Cecco, L., Lugari, A., Martini, S., la Porta, L.,
Ristoratore, E., Pascale, C., Active and passive remote sensing for supporting the
evaluation of the urban seismic vulnerability | [Tecniche di telerilevamento attivo e
passivo a supporto della stima della vulnerability à sismica in aree urbane], 2011,
Italian Journal of Remote Sensing / Rivista Italiana di Telerilevamento 42 (3) , pp.
129-141
1321. Leanndra Copeland, Dana Edberg, Anna K. Panorska, Jeanne Wendel,
Applying Business Intelligence Concepts to Medicaid Claim Fraud Detection, Journal
of Information Systems Applied Research (JISAR), 5(1) January 2012, pp. 51-61
1322. M Afsha r Alam, Sapna Jain, Ranjit Biswas, Exposition and Execution of a
Scaled Aprori in Multidimensional Dataset, ARPN Journal of Systems and Software,
VOL. 2, NO. 1, January 2012, pp. 27-36
1323. Sjoerd van der Spoel, Outcome and variable prediction, for discrete processes
Master Thesis, Business Information Technology, Enschede, January 2012
1324. V.F. Rodriguez-Galiano, An assessment of the effectiveness of a random
forest classifier for land-cover classification, PhD thesis, University of Granada, 2011
1325. Singh S., Jokhan A., Sharma B. and Lal S., An Innovative Approach Of
Progressive Feedback Via Artificial Neural Networks, Journal of Machine Learning
Technologies, ISSN: 2229-3981 & ISSN: 2229-399X, Volume 3, Issue 1, 2012, pp.
64-70
1326. Dawei Wang, Luoshi Zhang, Zhenlong Yuan, Yibo Xue and Yingfei Dong,
Application Behavior Characterization (ABC) System for Fast and Accurate
LargeScale Traffic Classification, Technical Report, Tsinghua University, 2012
1327. Chen, L.-F., Guo, G.-D., Multi-representatives learning algorithm for nearest
neighbor classification, 2011, Moshi Shibie yu Rengong Zhineng/Pattern Recognition
and Artificial Intelligence 24 (6) , pp. 882-888
1328. Ivan Kitanovski, Katarina Trojacanec, Ivica Dimitrovski and Suzana
Loskovska, Modality Classification Using Texture Features, Advances in Intelligent
and Soft Computing, 2012, Volume 150, ICT Innovations 2011, Pages 189-198
1329. Jianhua Chea, Weimin Lina, Yong Yua, Wei Yaob, Optimized Hypergraph
Clustering-based Network Security Log Mining, Physics Procedia, Volume 24, Part
A, 2012, Pages 762–768
1330. Karel Dejaeger, Thomas Verbraken, Bart Baesens, "Towards Comprehensible
Software Fault Prediction Models Using Bayesian Network Classifiers," IEEE
Transactions on Software Engineering, 20 March 2012.
1331. Florian Niedermann, Sylvia Radeschütz, Bernhard Mitschang, Deep Business
Optimization: A Platform for Automated Process Optimization, INFORMATIK 2010
business process and service science - Proceedings of ISSS and BPSC, pp. 168-180.
1332. Qiwei He, Bernard P. Veldkamp, Theo de Vries, Screening for posttraumatic
stress disorder using verbal features in self narratives: A text mining approach,
Psychiatry Research, In Press, Corrected Proof, Available online 29 March 2012
1333. S Preetha and V Radha. Enhanced Outlier Detection Method using
Association Rule Mining Technique. International Journal of Computer Applications
42(7):1-, March 2012. Published by Foundation of Computer Science, New York,
USA
1334. J.Suguna, M. Arul Selvi, Ensemble Fuzzy Clustering for Mixed Numeric and
Categorical Data, International Journal of Computer Applications (0975 – 8887),
Volume 42– No.3, March 2012, pp. 19-23
1335. Milan Vukićević, Sonja Išljamović, Miloš Jovanović, Boris Delibašić, Milija
Suknović, Using Neural Networks For Prediction Of Students' Success, 2nd
International Conference on Information Society Technology, YUINFO & ICIST
2012, pp. 680-684.
1336. Gianmarco Tardivo, Antonio Berti, A Dynamic Method for Gap Filling in
Daily Temperature Datasets, Journal of Applied Meteorology and Climatology 2012 ;
doi: http://dx.doi.org/10.1175/JAMC-D-11-0117.1
1337. Abdullah Saad Almalaise Alghamdi, Rules Generation from ERP Database: A
Successful Implementation of Data Mining, IJCSNS International Journal of
Computer Science and Network Security, VOL.12 No.3, March 2012, pp. 21-29.
1338. Md. Abdur Rahman, A Data Mining Framework for Automatic Online
Customer Lead Generation, Msc Thesis, Dalhousie University, Halifax, Nova Scotia,
March 2012
1339. Md. Abdur Rahman, A Data Mining Framework for Automatic Online
Customer Lead Generation, Msc Thesis, Dalhousie University, Halifax, Nova Scotia,
March 2012
1340. Michael Faron and Goutam Chakraborty, Easily Add Significance Testing to
your Market Basket Analysis in SAS® Enterprise Miner™, SAS Global Forum 2012,
Paper 204-2012
1341. Mota NB, Vasconcelos NAP, Lemos N, Pieretti AC, Kinouchi O, et al. (2012)
Speech Graphs Provide a Quantitative Measure of Thought Disorder in Psychosis.
PLoS ONE 7(4): e34928. doi:10.1371/journal.pone.0034928
1342. Camilo Valderrama, Gonzalo Ulloa Villegas, Spectral analysis of
physiological parameters for consumers' emotion detection, Sistemas & Telematica,
Vol 10, No 20 (2012)
1343. Muhammad Atif Tahir, Josef Kittler, Fei Yan, Inverse Random Under
Sampling for class imbalance problem and its application to multi-label classification,
Pattern Recognition, Volume 45 Issue 10, October, 2012, Pages 3738-3750
1344. Ludovic Jean-Louis, Approches supervisees et faiblement supervisees pour
l'extraction d' evenements complexes et le peuplement de bases de connaissances,
docteur en Sciences de l'Universite de Paris 11 - Paris Sud, Decembre 2011
1345. Mittal, Sangeeta, A review of some Bayesian Belief Network structure
learning algorithms, 8th International Conference on Information, Communications
and Signal Processing (ICICS) 2011, 13-16 Dec. 2011
1346. Sandeep Singh Rawat and Lakshmi Rajamani, Discovering Rare Association
Rules Using Probability Apriori in Grid Environments, Advances in Intelligent and
Soft Computing, 2012, Volume 131, Proceedings of the International Conference on
Soft Computing for Problem Solving (SocProS 2011) December 20-22, 2011, Pages
527-539
1347. Li Xiang-wei, Qi Yian-fang, A Data Preprocessing Algorithm for
Classification Model Based On Rough Sets, Physics Procedia, Volume 25, 2012,
Pages 2025–2029
1348. Sisi Chen, Liangxiao Jiang, An Empirical Study on Multi-instance Learning,
Advances in information Sciences and Service Sciences(AISS), Volume4, Number6,
April 2012, pp. 193-202.
1349. Mittal, Sangeeta, Application of Bayesian Belief Networks for context
extraction from wireless sensors data, 2012 14th International Conference on
Advanced Communication Technology (ICACT), 19-22 Feb. 2012, 410 – 415
1350. Yan, L., Jones, G., Villette, S., Paoli, J.N., Gée, C., Combining spatial and
spectral information to improve crop/weed discrimination algorithms, 2012,
Proceedings of SPIE - The International Society for Optical Engineering 8300 , art.
no. 83000E
1351. Erbacher, R.F., Biswas, A., Cameron, T., Novel data reduction techniques in
large-scale network infrastructures through impact and vulnerability assessment,
2012, International Journal of Advancements in Computing Technology 4 (5) , pp.
32-48
1352. ALTI Adel, BOUKERRAM Abdallah, ROOSE Philippe, Selector: A tool for
dynamic service selection and management, Journal of Computing (eISSN 21519617) 4, (2012) 1-10
1353. Ahmad, W., Narayanan, A., Humoral Artificial Immune System (HAIS) for
supervised learning, 2012, International Journal of Computational Intelligence and
Applications 11 (1) , art. no. 1250004
1354. Scott Jarvis; Scott A Crossley, Approaching language transfer through text
classification : explorations in the detection-based approach, Publisher: Bristol ;
Buffalo : Multilingual Matters, ©2012. Series:
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(Clevedon, England), 64.
1355. Jonathan H. Clark, via Feature Induction Non-Linear Learning in Statistical
Machine Tranlsation, Language Technologies Institute, School of Computer Science,
Carnegie Mellon University, Ph.D. Thesis, 2012
1356. Amelia Zafra, Sebastian Ventura, Multi-instance Genetic Programming for
Predicting Student Performance in Web Based Educational Environments, 2012,
Applied Soft Computing Journal 12 (8) , pp. 2693-2706
1357. M.H. Osman, Z.M. Nopiah, S. Abdullah, Feature Selection for Fatigue
Segment Classification System Using Elitist Non-Dominated Sorting in Genetic
Algorithm, Applied Mechanics and Materials (Volume 165), 232-236
1358. Gülefşan Bozkurt Gönen, Mehmet Gönen, Fikret Gürgen, Probabilistic and
discriminative group-wise feature selection methods for credit risk analysis, Expert
Systems with Applications, In Press, Available online 27 April 2012
1359. Tadeusz Lasota, Tomasz Łuczak and Bogdan Trawiński, Investigation of
Rotation Forest Method Applied to Property Price Prediction, Lecture Notes in
Computer Science, 2012, Volume 7267, Artificial Intelligence and Soft Computing,
Pages 403-411
1360. Tadeusz Lasota, Tomasz Łuczak and Bogdan Trawiński, Investigation of
Rotation Forest Method Applied to Property Price Prediction, Lecture Notes in
Computer Science, 2012, Volume 7267, Artificial Intelligence and Soft Computing,
Pages 403-411
1361. Daniel Lieber, Benedikt Konrad, Jochen Deuse, Marco Stolpe and Katharina
Morik, Sustainable Interlinked Manufacturing Processes through Real-Time Quality
Prediction, 2012, Leveraging Technology for a Sustainable World, Pages 393-398
1362. Qiuju Yang, Jimin Liang, Zejun Hu, Zanyang Xing, Heng Zhao, Automatic
recognition of poleward moving auroras from all-sky image sequences based on
HMM and SVM, Planetary and Space Science, In Press, Available online 30 April
2012
1363. Dustin Baumgartner and Gursel Serpen, Performance of global–local hybrid
ensemble versus boosting and bagging ensembles, International Journal of Machine
Learning and Cybernetics, Online First™, 25 April 2012
1364. D.Jayalatchumy, K.Manodurga, Weighted Distance Based Sampling
Technique to Improve Efficiency in High Dimensional DataNational Conference on
Future Computing. Volume 1, March 2012, 134-137
1365. Kawther A.Aldhaln, Akram M. Zeki, Knowledge Extraction In Hadith Using
Data Mining Technique, International Journal of Information Technology &
Computer Science ( IJITCS ) - ISSN : 2090-1610
1366. P.Isakki alias Devi, S.P.Rajagopalan, Analysis of Customer Behavior using
Clustering and Association Rules, International Journal of Computer Applications
(0975 – 8887), Volume 43– No.23, April 2012, pp. 19-26.
1367. Gabrijela Dimić, Dragana Prokin, Kristijan Kuk, Marko Micalović, Primena
Decision Trees i Naive Bayes klasifikatora na skup podataka izdvojen iz Moodle
kursa, INFOTEH-JAHORINA Vol. 11, March 2012, pp. 877-882.
1368. Timothy J. Wilson, Mfire-2: A Multi Agent System For Flow-Based Intrusion
Detection Using Stochastic Search, Department Of The Air Force, Air University,
2012
1369. Chanisara Lueviphan, and Verayuth Lertnattee, Automated text categorization
for drug monograph by Weka, Creative Economy Proccedings, pp. 165-168
1370. K. Poornamala, R. Lawrance, A Frequent Pattern Tree Algorithm For Mining
Association Rule Using Genetic Algorithm, International Conference on Computing
and Control Engineering (ICCCE 2012), 12 & 13 April, 2012, pp. 1-7
1371. Matthew W. Segar, Utilization of Probabilistic Models in Short Read
Assembly from Second-Generation Sequencing, Thesis, Bucknell University, 2012
1372. Siti Hajar Arbain, Antoni Wibowo, Time Series Methods For Water Level
Forecasting Of Dungun River In Terengganu Malaysia, International Journal of
Engineering Science and Technology (IJEST), Vol. 4 No.04 April 2012, pp. 18031811
1373. Samhouri, M.S., Idwan, S., Mukattash, A., A system for adaptive intelligent
learning (SAIL), 2011, International Review on Modelling and Simulations 4 (5) , pp.
2651-2656
1374. Chongsheng Zhang and Paolo Soda, A Double-Ensemble Approach for
Classifying Skewed Data Streams, Lecture Notes in Computer Science, 2012, Volume
7301, Advances in Knowledge Discovery and Data Mining, Pages 254-265
1375. K.Ganeshkumar, H.Vignesh Ramamoorthy, S.Sudha, D.Suganya Devi, An
Encrypted Technique with Association Rule Mining in Cloud Environment, National
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