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trust metrics (propagation: chaining and aggregation)
Krishnaprasad Thirunarayan, Pramod Anantharam. Trust Networks: Interpersonal, Sensor, and
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Social. In International Conference on Collaborative Technologies and Systems (CTS 2011).
Philadelphia, Pennsylvania, USA,: In: Proceedings of 2011 International Conference on
Collaborative Technologies and Systems (CTS 2011); 2011.
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(688.54 KB)
trust management
Giovani R. Abuaitah, Bin Wang. Trusted Query in Spatial and Temporal Correlated Wireless
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Sensor Networks. 2009 ;.
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(861 KB)
trust and trust model
Pramod Anantharam, Krishnaprasad Thirunarayan, Cory Henson, Amit Sheth. Trust In Social and
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Sensor Networks. In Wright State University; 2010.
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(1.27 MB)
trust and sensor web and information retrieval
Krishnaprasad Thirunarayan. Research in Semantic Web and Information Retrieval: Trust,
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Sensors, and Search. In 2009.
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trust
Pramod Anantharam, Krishnaprasad Thirunarayan, Cory Henson, Amit Sheth. Trust Model for
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Semantic Sensor and Social Networks: A Preliminary Report. In National Aerospace &
Electronics Conference (NAECON). Dayton, Ohio: In Proceedings of National Aerospace &
Electronics Conference (NAECON); 2010.
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The Semantic Web - ISWC 2009. 2009.
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Triple Extraction
Delroy Cameron, Gary Alan Smith, Raminta Daniulaityte, Amit Sheth, Drashti Dave, Lu Chen,
Gaurish Anand, Robert Carlson, Kera Watkins, Russel Falck. PREDOSE: A Semantic Web
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Platform for Drug Abuse Epidemiology using Social Media. 2013 ;.
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(2.39 MB)
trident ontology and parasite experiment ontology and provenance management framework
and provenir ontology
Satya S. Sahoo, Amit Sheth. Provenir ontology: Towards a Framework for eScience
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Provenance Management. In Microsoft eScience Workshop; 2009.
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(279.27 KB)
Triad-based analysis
Huda Alhazmi, Swapna Gokhale, Derek Doran. Understanding Social Effects in Online
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Networks. In International Symposium on Social Computing and Semantic Data Mining. Anaheim,
California; 2015.
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(209.63 KB)
Traumatic brain injury
Vahid Taslimitehrani, Guozhu Dong. A New CPXR Based Logistic Regression Method and
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Clinical Prognostic Modeling Results Using the Method on Traumatic Brain Injury. IEEE 14th
International Conference on BioInformatics and BioEngineering (BIBE). Boca Raton, Florida: IEEE;
2014. p. 283-290.
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transport system
Gerik Scheuermann, Hans Hagen, Thomas Wischgoll. Visualization of Temporal Distances. Late
Breaking Hot Topics of IEEE Symposium on Visualization 1999. 1999 ;: 43-46.
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translational efficiency
Douglas Raiford, Dan Krane, Travis Doom, Michael Raymer. A Genetic Optimization Approach
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for Isolating Translational Efficiency Bias. IEEE/ACM Transactions on Computational Biology
and Bioinformatics. IEEE Computer Society Press; 2009 ;8(2):342-352.
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(1.85 MB)
Travis Doom, D. Krane, Doug Raiford, Michael Raymer. Automated Isolation of Translational
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Efficiency Bias that Resists the Confounding Effect of GC(AT)
Systems Society. 2009 ;.
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-Content. IEEE Control
(4.46 MB)
D. Raiford, Doug Raiford, Dan Krane, Travis Doom, Michael Raymer. A Genetic Optimization
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Approach for Isolating Translational Efficiency Bias. IEEE Control Systems Society. 2008 ;.
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transistors
F. Beyette, , Mark Oxley, J. Boyd, H. Carter, C. Purdy, H. Abdel-Aty-Zohdy, S. Bibyk, Y. Zheng, C.
Brothers. An Interactive Video Course in Multidisciplinarity and Collaborative Design for
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Systems on a Chip. In Intl. Conf. on Microelectronics Systems Education. Las Vegas, NV, USA;
2001.
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(32.53 KB)
Transactions
Narayanan Krishnakumar, Amit Sheth. Managing Heterogenous Multi-system Tasks to Support
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Enterprise-wide Operations. In 1994.
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(1.9 MB)
transactional workflows
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Marek Rusinkiewicz, Amit Sheth. On Transactional Workflows. 1993 ;.
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(118.62 KB)
transaction processing
E. J. Cameron, L. A. Ness, Amit Sheth. An Executor for Multidatabase Transactions which
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Achieves Maximal Parallelism. 1st International Workshop on Interoperability in Multidatabase
Systems (IMS 1991). Kyoto, Japan: IEEE; 1991. p. 288 - 291.
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(329.28 KB)
transaction Management
Amit Sheth, A. Cichocki, G. Thomas, P. Krychniak, Marek Rusinkiewicz. Bounding the Effects of
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Compensation under Relaxed Multi-Level Serializability. Distributed and Parallel Databases.
1996 ;:355-374.
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(228.44 KB)
transaction databases
E. J. Cameron, L. A. Ness, Amit Sheth. An Executor for Multidatabase Transactions which
Achieves Maximal Parallelism. 1st International Workshop on Interoperability in Multidatabase
Systems (IMS 1991). Kyoto, Japan: IEEE; 1991. p. 288 - 291.
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(329.28 KB)
training data
Big
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Wenbo Wang, Lu Chen, Krishnaprasad Thirunarayan, Amit Sheth. Harnessing Twitter
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Data for Automatic Emotion Identification. 2012 International Conference on Social Computing
(SocialCom). Amsterdam, The Netherlands: IEEE; 2012. p. 587-592.
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(156.44 KB)
Training
Andrew Buck, Tanvi Banerjee, James Keller. Evolving a Fuzzy Goal-Driven Strategy for the
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Game of Geister. 2014 IEEE Congress on Evolutionary Computation (CEC). Beijing, China: IEEE;
2014. p. 28 - 35.
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traffic dynamics
Pramod Anantharam, Krishnaprasad Thirunarayan, Surendra Marupudi, Amit Sheth, Tanvi Banerjee.
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Understanding City Traffic Dynamics Utilizing Sensor and Textual Observations. In 30th
AAAI Conference on Artificial Intelligence (AAAI-16). Phoenix, Arizona; 2016.
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Traffic Data
Pramod Anantharam, Biplav Srivastava. City Notifications as a Data Source for Traffic
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Management. In 20th ITS World Congress. Tokyo, Japan; 2013.
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(441.18 KB)
traffic analytics
Pramod Anantharam, Payam Barnaghi, Amit Sheth. Data Processing and Semantics for
Advanced Internet of Things (IoT) Applications: modeling, annotation, integration, and
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perception. International Conference on Web Intelligence, Mining, and Semantics (WIMS '13).
Madrid, Spain: ACM; 2013.
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(154.65 KB)
Amit Sheth, Pramod Anantharam. Physical Cyber Social Computing: An Early 21st Century
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Approach to Computing for Human Experience. In International Conference on Web
Intelligence, Mining and Semantics (WIMS '13). Madrid, Spain; 2013.
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(1.53 MB)
Pramod Anantharam, Krishnaprasad Thirunarayan, Amit Sheth. Traffic Analytics using
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Probabilistic Graphical Models Enhanced with Knowledge Bases. In 2nd International
Workshop on Analytics for Cyber-Physical Systems (ACS-2013) at SIAM International Conference
on Data Mining (SDM 2013). Austin, Texas; 2013.
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(1.45 MB)
traditional cluster validation techniques based on geometric shapes and density distributions
are not appropriate for categorical data. In this paper
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Ling Liu, Keke Chen. Best K: the Critical Clustering Structures in Categorical Data. 2008 ;.
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Tractable Reasoning with Ontologies
Gary Berg-Cross, Isabel Cruz, Mike Dean, Timothy Finin, Pascal Hitzler, Hook Hua, Mark Gahegan,
Krzysztof Janowicz, Naicong Li, Philip Murphy, Bryce Nordgren, Leo Obrst, Mark Schildhauer,
Amit Sheth, Krishna Sinha, Anne Thessen, Nancy Wiegand, Ilya Zaslavsky. Semantics and
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Ontologies for EarthCube. In: Krzysztof Janowicz, Carsten Keßler, Tomi Kauppinen, Dave Kolas,
Simon Scheider. Workshop on GIScience in the Big Data Age, in conjunction with the 7th
International Conference on Geographic Information Science 2012 (GIScience 2012). Columbus,
OH; 2012. p. 11-16.
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(62.78 KB)
tractability
Markus Krotzsch, Frederick Maier, Adila Alfa Krisnadhi, Pascal Hitzler. A Better Uncle For OWL
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- Nominal Schemas for Integrating Rules and Ontologies. In International World Wide Web
Conference (WWW2011). New York: Proceedings of the 20th International World Wide Web
Conference (WWW2011); 2011.
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(406.28 KB)
topology
Anthony K. Seda, Pascal Hitzler. Generalized Distance Functions in the Theory of
Computation. The Computer Journal. 2010 ;:443-464.
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topologies
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Pascal Hitzler, Anthony K. Seda. Dislocated Topologies. 2000 ;.
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(170.64 KB)
topic Indexing
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Pablo Mendes. Adaptive Semantic Annotation of Entity and Concept Mentions in Text.
Department of Engineering and Computer Science . [Dayton]: Wright State University; 2013.
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(1.81 MB)
Time-Space Variant
Utkarshani Jaimini, V. Panchal. Swarm Intelligence computational paradigm. 2013 International
Conference on Emerging Trends in Communication, Control, Signal Processing and Computing
Applications (C2SPCA). Bangalore, India: IEEE; 2013. p. 1 - 8.
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Time-Space Invariant
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Utkarshani Jaimini, V. Panchal. Swarm Intelligence computational paradigm. 2013 International
Conference on Emerging Trends in Communication, Control, Signal Processing and Computing
Applications (C2SPCA). Bangalore, India: IEEE; 2013. p. 1 - 8.
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Time series modeling
Lei Duan, Changjie Tang, Xiasong Li, Guozhu Dong, Xianming Wang, Jie Zuo, Min Jiang,
Zhongqiao Li, Yongqing Zhang. Mining Effective Multi-Segment Sliding Window for Pathogen
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Incidence Rate Prediction. Data & Knowledge Engineering. 2013 ;87:425-444.
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(2.67 MB)
time series
Pramod Anantharam, Krishnaprasad Thirunarayan, Surendra Marupudi, Amit Sheth, Tanvi Banerjee.
Understanding City Traffic Dynamics Utilizing Sensor and Textual Observations. In 30th
AAAI Conference on Artificial Intelligence (AAAI-16). Phoenix, Arizona; 2016.
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(2.05 MB)
(5.96 MB)
three-level fuzzy inference
Tanvi Banerjee, James Keller, Marjorie Skubie. Building a framework for recognition of activities
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of daily living from depth images using fuzzy logic. 2014 IEEE International Conference on
Fuzzy Systems (FUZZ-IEEE). Beijing, China: IEEE; 2014. p. 540 - 547.
DOI
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three-layered FIS model
Tanvi Banerjee, James Keller, Marjorie Skubie. Building a framework for recognition of activities
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of daily living from depth images using fuzzy logic. 2014 IEEE International Conference on
Fuzzy Systems (FUZZ-IEEE). Beijing, China: IEEE; 2014. p. 540 - 547.
DOI
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three generations of interoperability
Amit Sheth. Changing Focus on Interoperability in Information Systems: From System,
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Syntax, Structure to Semantics. In 1999.
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(749.87 KB)
those articles selected by the Surgical Oncology Society. <br /><b>Results</b>: Our results
showed that CCPY outperforms CC and JIF
Ling Liu, Keke Chen. Document Clustering and Ranking System for Exploring MEDLINE
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Citations. 2007 ;.
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this study developed an approach that retrieved and organized MEDLINE citations into
different topical groups and prioritized important citations in each group. <br />
<b>Design</b>: A text mining system framework for automatic document clustering and ra
Ling Liu, Keke Chen. Document Clustering and Ranking System for Exploring MEDLINE
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Citations. 2007 ;.
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This paper illustrates how Semantic Web technologies (especially RDF
Satya Sahoo, Olivier Bodenreider, Joni Rutter, Karen Skinner, Amit Sheth. An Ontology-Driven
Semantic Mashup of Gene and Biological Pathway Information: Application to the Domain
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of Nicotine Dependence. 2008 ;.
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there is an astounding growth in the amount of data produced and made available through the
cyberspace. Efficient and high quality clustering of large datasets continues to be one of the
most important problems in largescale data analysis. A commonly use
Keke Chen, Ling Liu. iVIBRATE: Interactive Visualization Based Framework for Clustering
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Large Datasets. 2006 ;.
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Thematic Semantic Analytics
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Matthew Perry. Spatiotemporal and Thematic Semantic Analytics. In 2007.
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(421.5 KB)
thematic proximity
Cartic Ramakrishnan, Amit Sheth, M. Kwan, E. L. Usery, Ismailcem Budak Arpinar, M. Azami.
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Geospatial Ontology Development and Semantic Analytics. Transactions in GIS. 2006 ;:551575.
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(752.65 KB)
The problem of determining the optimal number of clusters is important but mysterious in
cluster analysis. In this paper
Hua Yan, Keke Chen, Ling Liu. Determining the Best K for Clustering Transactional Datasets:
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A Coverage Density-based Approach. 2008 ;.
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(536 KB)
The Internet of Things
Charu Aggarwal, Naveen Ashish, Amit Sheth. The Internet of Things: A Survey from the Data-
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Centric Perspective. In: Charu Aggarwal. Managing and Mining Sensor Data. New York: Springer
US; 2012. p. 383-428.
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The demand on cluster analysis for categorical data continues to grow over the last decade. A
well-known problem in categorical clustering is to determine the best K number of clusters.
Although several categorical clustering algorithms have been develope
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Ling Liu, Keke Chen. Best K: the Critical Clustering Structures in Categorical Data. 2008 ;.
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The authors propose that an organic workflow-process technology will power the evolution of
information system architectures. The authors outline three likely stages of architectural
evolution in the context of a networked economy and discuss critical gap
Amit Sheth, Wil Van Der Aalst, Ismailcem Budak Arpinar. Processes Driving the Networked
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Economy. IEEE Concurrency. 1999 ;.
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(691.75 KB)
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