Download Dr. Dey, Lipika Principal Scientist, TCS Innovation Labs Delhi

Dr. Dey, Lipika
Principal Scientist, TCS Innovation Labs Delhi
Publications:
In Journals / International Conferences/Book Chapters
1. Lipika Dey, Ishan Verma, Arpit Khurdiya, Sameera Bharadwaja H.: A framework to integrate
unstructured and structured data for enterprise analytics. Proc. FUSION 2013: 1988-1995
2. Lipika Dey, Ishan Verma: Text-Driven Multi-structured Data Analytics for Enterprise Intelligence. Proc.
Web Intelligence/IAT Workshops 2013: 213-220
3. Niraj Kumar, Lipika Dey: Automatic Quality Assessment of Documents with Application to Essay
Grading. Proc. MICAI (Special Sessions) 2013: 216-222
4. Lipika Dey, Sameera Bharadwaja H., G. Meera, Gautam Shroff: Email Analytics for Activity
Management and Insight Discovery. Proc. Web Intelligence 2013: 557-564
5. Lipika Dey and Bhakti Gaonkar, Discovering regular and consistent behavioral patterns in topical
tweeting, Proc. ICPR, 2012, Japan, November 2012
6. Lipika Dey, Arpit Khurdiya, Diwakar Mahajan and Ishan Verma, Extraction and Compilation of Events
and Sub-events from Twitter, Proc. WI 2012, Macau, December 2012
7. Lipika Dey, Sameera Bharadwaja H. and Shefali Bhat, An Ontology-based Mining of Consumer
Feedbacks Using Fuzzy Reasoning, Proc. WI 2012, Macau, December 2012
8. Arpit Khurdiya, Lipika Dey, Nidhi Raj, S. K. Mirajul Haque: Multi-Perspective Linking of News Articles
within Repository. Poster presentation at IJCAI 2011: 2281-2286
9. Amir Ahmad, Lipika Dey: A k-means type clustering algorithm for subspace clustering of mixed numeric
and categorical datasets. Pattern Recognition Letters 32(7): 1062-1069 (2011)
10. Muhammad Abulaish, Jahiruddin and Lipika Dey: Deep Text Mining for Automatic Keyphrase
Extraction from Text Documents, Journal of Intelligent Systems, Nov. (2011)
11. Lipika Dey, Bhakti Gaonkar: Wavelet-Based Clustering of Social-Network Users Using Temporal and
Activity Profiles. Proc. PReMI 2011: 60-65 (2011)
12. Expertise Prediction for Social Network Platforms to Encourage Knowledge Sharing, In Proc. Web
Intelligence and Intelligent Agent Technology (WI-IAT), 2011 IEEE/WIC/ACM , Lyon, France, 380 – 383
(2011)
13. Lipika Dey, Sk. M. Haque, Arpit Khurdiya and Gautam Shroff, Acquiring competitive intelligence from
social media, Proceeding MOCR_AND’11, Proceedings of the 2011 Joint Workshop on Multilingual OCR
and Analytics for Noisy Unstructured Text Data.
14. Preeti Goel, Lipika Dey: Finding approximately similar patterns in social networks. Proc. CASoN 2011:
141-146
15. Nithi Gupta, Lipika Dey: Detection and Characterization of Anomalous Entities in Social
Communication Networks. Proc. ICPR 2010: 738-741
16. Lipika Dey, S. K. Mirajul Haque, Nidhi Raj: Mining Customer Feedbacks for Actionable Intelligence.
Proc. Web Intelligence/IAT Workshops 2010: 239-242
17. Jahiruddin, Muhammad Abulaish, Lipika Dey: A concept-driven biomedical knowledge extraction and
visualization framework for conceptualization of text corpora. Journal of Biomedical Informatics 43(6):
1020-1035 (2010)
18. Lipika Dey, S. K. Mirajul Haque: Studying the effects of noisy text on text mining applications. AND
2009: 107-114
19. Lipika Dey, Anuj Mahajan, S. K. Mirajul Haque: Document Clustering for Event Identification and Trend
Analysis in Market News. ICAPR 2009: 103-106
20. S. K. Mirajul Haque, Lipika Dey, Anuj Mahajan: A News Analysis and Tracking System. Proc. PReMI
2009: 231-236
21. Nithi, Lipika Dey: Anomaly Detection from Call Data Records. Proc. PReMI 2009: 237-242
22. Muhammad Abulaish, Jahiruddin, Lipika Dey: A Relation Mining and Visualization Framework for
Automated Text Summarization. Proc. PReMI 2009: 249-254
23. Lipika Dey, S. K. Mirajul Haque: Opinion mining from noisy text data. International Journal of
Document Analysis and Recognition 12(3): 205-226 (2009)
24. Lipika Dey, S. K. Mirajul Haque: Opinion mining from noisy text data. Proc. Workshop on Analytics of
Noisy Data held with SIGIR 2008: 83-90
25. Lipika Dey, Muhammad Abulaish: Fuzzy ontologies for handling uncertainties and inconsistencies in
domain knowledge description. Proc. FUZZ-IEEE 2008: 1366-1373
26. Anuj Mahajan, Lipika Dey, S. K. Mirajul Haque: Mining Financial News for Major Events and Their
Impacts on the Market. Proc. Web Intelligence (WI) 2008: 423-426
27. Lipika Dey, Muhammad Abulaish, Rohit Goyal, Kumar Shubham: A Rough-Fuzzy Ontology Generation
Framework and Its Application to Bio-medical Text Processing. Proc. AWIC 2007: 74-79
28. Muhammad Abulaish, Lipika Dey: A Fuzzy Ontology Generation Framework for Handling Uncertainties
and Nonuniformity in Domain Knowledge Description. Proc. ICCTA 2007: 287-293
29. Lipika Dey, Muhammad Abulaish, Jahiruddin Sharma: Relation Extraction from Texts for Efficient
Access to InformationApplication to Bio-Medical Text Processing. Proc. IICAI 2007: 1719-1737
30. Lipika Dey, Muhammad Abulaish, Rohit Goyal, Jahiruddin Sharma: Semantic Integration of Information
Through Relation Mining - Application to Bio-medical Text Processing. Proc. PReMI 2007: 365-372
31. Lipika Dey, Muhammad Abulaish, Jahiruddin Sharma, Gaurav Sharma: Text Mining through EntityRelationship Based Information Extraction. Proc. Web Intelligence/IAT Workshops 2007: 177-180
32. Muhammad Abulaish, Lipika Dey: Biological relation extraction and query answering from MEDLINE
abstracts using ontology-based text mining. Journal of Data and Knowledge Engg. 61(2): 228-262
(2007)
33. Amir Ahmad, Lipika Dey: A k-mean clustering algorithm for mixed numeric and categorical data.
Journal of Data and Knowledge Engg. 63(2):503-527 (2007)
34. Amir Ahmad, Lipika Dey: A method to compute distance between two categorical values of same
attribute in unsupervised learning for categorical data set. Journal Pattern Recognition Letters 28(1):
110-118 (2007)
35. M. Abulaish and Lipika Dey, “Information Extraction and Imprecise Query Answering from Web
Documents”, Web Intelligence and Agent Systems: An International Journal, published by IOS Press,
Vol. 4, No. 4, 2006.
36. Lipika Dey and M.Abulaish, "Ontology enhancement for including newly acquired knowledge about
concept descriptions and answering imprecise queries", Book Chapter in "Web Semantics and
Ontology", edited by David Taniar and Wenny Rahayu, published by Idea Group Publishing, Hershey,
Pennsylvania, pp. 189-225.
37. L. Dey and M.Abulaish, Enhancing a Biological Concept Ontology to Fuzzy Relational Ontology with
Relations Mined from Text, Lecture Notes in Artificial Intelligence (Lecture Notes in Computer Science)
published by Springer Verlag, No. 4259 – 0527, Kobe, Japan, November 2006.
38. M.Abulaish and L. Dey, Interoperability among Distributed Overlapping Ontologies – A Fuzzy Ontology
Framework, Proc. IEEE Conference on Web Intelligence 2006, December, pp. 397-403.
39. L. Dey, A. Rastogi and S.Kumar, Generating concept ontologies through text mining, Proceedings IEEE
Conference on Web Intelligence 2006, Hong Kong, December 2006, pp. pp. 23-32.
40. Lipika Dey and Rohit Goyal, Using Relations to Index Biological Document Repositories for Efficient
Searching, In Proc. 13th International Conference on Management of Data (COMAD), New Delhi, 2006.
41. S.Gupta, L.Dey, K. Shubham, R.Goyal, S.Chaudhury, A.Malik and S. Bhattacharya, Knowledge
Discovery from Semi-structured Data for Conceptual Organization, Proc. Workshop on Virtual
Organization at IEEE Conference on Intelligent Agent Techniques, Hong Kong, December 2006.
42. Shailendra Singh and Lipika Dey, “A new Customized Document Categorization scheme using Rough
Membership”, Applied Soft Computing, An International Journal published by Elsevier, Volume 5, Issue
4, July 2005, Pages 373-390
43. Amir Ahmad and Lipika Dey, “A Feature Selection Technique for Classificatory Analysis”, Pattern
Recognition Letters, An International Journal published by Elsevier, Volume 26, Issue 1, January 2005,
Pages 43-56
44. Amir Ahmad and Lipika Dey, “Algorithm for Fuzzy Clustering of Mixed Data with Numeric and
Categorical Attributes”, Proc. ICDCIT 2005, India, Lecture Notes in Computer Science 3816, pp. 561 –
572, December 2005.
45. M. Abulaish, L. Dey, “Biological Ontology Enhancements: A Text Mining Framework” in: Proceedings of
the 2005 IEEE/WIC/ACM Int’l Conference on Web Intelligence, France, September 2005, pp. 379-385.
46. Lipika Dey, Amir Ahmad, Sachin Kumar, Finding Interesting Rules exploiting Rough Memberships, S.K.
Pal et al. (Eds.): PReMI 2005, Indian, Lecture Notes in Computer Science 3776, pp. 732–737, December
2005.
47. Md. Abulaish, Lipika Dey, Knowledge Enhancement through Ontology Guided Text Mining, S.K. Pal et
al. (Eds.): PReMI 2005, India, Lecture Notes in Computer Science 3776, pp. 601 – 604, December 2005.
48. M.Abulaish and Lipika Dey, An Ontology-based Pattern Mining System for Extracting Information from
Biological Texts, Proc. of Rough Sets For Data Mining and Granular Computing (RSFDGrC),Canada,
Lecture Notes in Artificial Intelligence 3642, Part II, pp 420-429, Springer, August 2005.
49. Lipika Dey, Shailendra Singh, Romi Rai and Saurabh Gupta, Ontology Aided Query Expansion for
Retrieving Relevant Texts, Lecture Notes in Computer Science, ISSN: 0302-9743, Volume 3528 / 2005
Title: Advances in Web Intelligence: Third International Atlantic Web Intelligence Conference, AWIC
2005, Lodz, Poland, June 6-9, 2005. Proceedings, Editors: Piotr S. Szczepaniak, Janusz Kacprzyk, Adam
Niewiadomski.
50. Shailendra Singh and Lipika Dey, “A Rough – Fuzzy Document Grading System for Customized Text
Information Retrieval”, in Journal of Information Processing and Management, An International Journal
published by Elsevier, Vol 41, Issue. 2, 2004, pg. 195-216.
51. Shailendra Singh, Lipika Dey, M.Abulaish, “A Framework for extending Fuzzy Description Logic to
Ontology based Document Processing”, Second International Atlantic Web Intelligence Conference,
AWIC 2004, Cancun, Mexico, 2004, Lecture Notes in Computer Science ISSN: 0302-9743 Volume 3034 /
2004, ISBN: 3-540-22009-7, Springer-Verlag Heidelberg, pp. 95 – 104, May 2004.