PhD (IIT Delhi), Senior Member: IEEE, ACM, and CSI

Professor, Department of Computer Science (on leave)
Jamia Millia Islamia (A Central University), New Delhi, India
E-mail: abulaish@ieee.org   mAbulaish@jmi.ac.in

  +91-11-26980014 (direct), EPABX +91-11-26981717 Extn 3450     +91-7503607446  

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  • By Venue

2017


1.

Ramzan Ali Bahrami, Jayati Gulati, and Muhammad Abulaish, Efficient Processing of SPARQL Queries Over GraphFrames, In Proceedings of the IEEE/WIC/ACM International Conference on Web Intelligence (WI), Lepzig, Germany, pp. 1-8, August 23-26, 2017. (accepted and to appear) (URL) (PDF) (BibTex)

2.

Mohd. Fazil, and Muhammad Abulaish, Identifying Active, Reactive, and Inactive Targets of Socialbots in Twitter, In Proceedings of the IEEE/WIC/ACM International Conference on Web Intelligence (WI), Lepzig, Germany, pp. 1-8, August 23-26, 2017. (accepted and to appear) (URL) (PDF) (BibTex)

3.

Sajid Yousuf Bhat, and Muhammad Abulaish, A Unified Framework for Community Structure Analysis in Dynamic Social Networks, Hema Banati, Siddhartha Bhattacharyya, Ashish Mani, and Mario Koppen (Eds.) Hybrid Intelligence for Social Networks, Springer, pp. 1-21, 2017. (accepted and to appear) (URL) (PDF) (BibTex)

4.

Mohd Fazil and Muhammad Abulaish, Why a Socialbot is Effective in Twitter? A Statistical Insight, In Proceedings of the 9th International Conference on Communication Systems and Networks (COMSNETS), Social Networking Workshop, Bengaluru, India, pp. 562-567, January 4-8, 2017. (URL) (PDF) (BibTex) (received best paper award)

2016


5.

Ahmad Kamal, Muhammad Abulaish, and Jahiruddin, OntoLSA - An Integrated Text Mining System for Ontology Learning and Sentiment Analysis, Witold Pedrycz and Shyi-Ming Chen (Eds.) Sentiment Analysis and Ontology Engineering, Studies in Computational Intelligence 639, Springer, ISBN: 978-3-319-30317-8, pp. 399-423, 2016. (URL) (PDF) (BibTex)

2015


6.

Tarique Anwar and Muhammad Abulaish, Ranking Radically Influential Web Forum Users, IEEE Transactions on Information Forensics and Security, Vol. 10, Issue 6, pp. 1289-1298, 2015. (URL) (PDF) (BibTex)

7.

Sajid Y. Bhat and Muhammad Abulaish, OCMiner: A Density-Based Overlapping Community Detection Method for Social Networks, Intelligent Data Analysis, Vol. 19, Issue 4, IOS Press, pp. 917-947, 2015. (URL) (PDF) (BibTex)

8.

Khalid Al-Rowaily, Muhammad Abulaish, Nur Al-Hasan Haldar, and Majed Al-Rubaiana, BiSAL – A bilingual sentiment analysis lexicon to analyze Dark Web forums for cyber security, Digital Investigation, Vol. 14, Elsevier, pp. 53-62, 2015. (URL) (PDF) (BibTex)

9.

Muhammad Abulaish and Sajid Y. Bhat, Classifier Ensembles using Structural Features for Spammer Detection in Online Social Networks, Foundations of Computing and Decision Sciences, Vol. 40, Issue 2, Poznan University of Technology, Poland, pp. 89-105, 2015. (URL) (PDF) (BibTex)

10.

Nausheen Azam, Jahiruddin, Muhammad Abulaish, and Nur Al-Hasan Haldar, Twitter Data Mining for Events Classification and Analysis, In Proceedings of the 2nd International Conference on Soft Computing and Machine Intelligence (ISCMI’15), Hong Kong, IEEE CPS, Nov. 23-24, 2015 (to appear). (URL) (PDF) (BibTex)

11.

Waleed Halboob, Ramlan Mahmod, Muhammad Abulaish, Haider Abbas and Kashif Saleem, Data Warehousing Based Computer Forensics Investigation Framework, In Proceedings of the 12th International Conference on Information Technology - New Generations (ITNG), Las Vegas, NV, USA , pp. 163-168, April 13-15, 2015. (URL) (PDF) (BibTex)

2014


12.

Sajid Y. Bhat and Muhammad Abulaish, HOCTracker: Tracking the Evolution of Hierarchical and Overlapping Communities in Dynamic Social Networks, IEEE Transactions on Knowledge and Data Engineering, Vol. 27, Issue 4, pp. 1019-1032, 2014. (URL) (PDF) (BibTex)

13.

Tarique Anwar and Muhammad Abulaish, Namesake Alias Mining on the Web and its Role Towards Suspect Tracking, Information Sciences, Vol. 276, pp. 123-145, 2014. (URL) (PDF) (BibTex)

14.

Sajid Y. Bhat and Muhammad Abulaish, Communities against Deception in Online Social Networks, Computer Fraud and Security, 2014(2), Elsevier, ISSN: 1361-3723, pp. 8-16, Feb. 2014. (PDF) (Source)

15.

Tarique Anwar and Muhammad Abulaish, A social graph based text mining framework for chat log investigation, Digital Investigation, Vol. 11, Issue 4, Elsevier, pp. 349-362, 2014. (PDF) (Source)

16.

Sajid Y. Bhat, Muhammad Abulaish, and Abdulrahman A. Mirza, Spammer Classification using Ensemble Methods over Structural Social Network Features, In Proceedings of the 14th IEEE/WIC/ACM International Conference on Web Intelligence (WI’14), Warsaw, Poland, pp. 454-458, Aug. 11-14, 2014. (PDF) (Source)

17.

Muhammad Abulaish and Sajid Y. Bhat, A Density-Based Approach to Detect Community Evolutionary Events in Online Social Networks, F. Can et al. (Eds.), State of the Art Applications of Social Network Analysis, Lecture Notes in Social Networks, Springer, ISBN: 978-3-319-05911-2, pp. 189-208, 2014. (Extended version of the paper presented at ASONAM'12) (PDF) (Source)

2013


18.

Sajid Y. Bhat and Muhammad Abulaish, Analysis and Mining of Online Social Networks - Emerging Trends and Challenges, WIREs Data Mining and Knowledge Discovery, 3(6), John Wiley and Sons,  ISSN: 1942-4787, pp. 408-444, Nov/Dec 2013. (PDF) (Source)

19.

Faraz Ahmed and Muhammad Abulaish, A Generic Statistical Approach for Spam Detection in Online Social Networks, Computer Communications, 36(10-11), Elsevier, ISSN: 0140-3664, pp. 1120-1129, June 2013. (PDF) (Source)

20.

Mudassir Wani, Majid A. Alrubaian, and Muhammad Abulaish, A User-Centric Feature Identification and Modeling Approach to Infer Social Ties in OSNs In Proceedings of the 15th International Conference on Information Integration and Web-based Applications & Services (iiWAS’13), Vienna, Austria, pp. 107-114, Dec. 2-4, 2013. (PDF) (Source)

21.

Muhammad Yasin and Muhammad Abulaish, DigLA - A Digsby Log Analysis Tool to Identify Forensic Artifacts, Digital Investigation, 9(3-4), Elsevier, ISSN: 1742-2876, pp. 222-234, 2013. (PDF) (Source)

22.

Sajid Y. Bhat and Muhammad Abulaish, Community-Based Features for Identifying Spammers in Online Social Networks, In Proceedings of the IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM'13), Niagara Falls, Canada, ACM, pp. 100-107, Aug. 25-28, 2013. (PDF) (Source)

23.

Tarique Anwar and Muhammad Abulaish, Modeling a Web Forum Ecosystem into an Enriched Social Graph, Martin Atzmueller, Alvin Chin, Denis Helic, and Andreas Hotho (Eds.), Ubiquitous Social Media Analysis, LNCS Vol. 8329, ISBN: 978-3-642-45391, Springer, pp. 152-152, 2013. (Extended version of the paper presented at MSM'12) (PDF) (Source)

24.

Ahmad Kamal and Muhammad Abulaish, Statistical Features Identification for Sentiment Analysis using Machine Learning Techniques, In Proceedings of the International Symposium on Computational and Business Intelligence (ISCBI'13), IEEE, pp. 178-181, Aug. 24-26, 2013. (PDF) (Source)

25.

Sajid Y. Bhat and Muhammad Abulaish, Overlapping Social Network Communities and Viral Marketing, In Proceedings of the International Symposium on Computational and Business Intelligence (ISCBI'13), Delhi, India, IEEE, pp. 243-346, Aug. 24-26, 2013. (PDF) (Source)

26.

Muhammad Abulaish and Tarique Anwar, A Keyphrase-Based Tag Cloud Generation Framework to Conceptualize Textual Data, International Journal of Adaptive, Resilient and Autonomic Systems, Vol. 4, No. 2, IGI Global, USA, ISSN: 1947-9220, pp. 72-93, 2013. (Spl. issue: selected papers from iiWAS'11) (PDF) (Source)

27.

Muhammad Abulaish and Jahiruddin, Web-Content Mining for Learning Generic Relations and their Associations from Textual Biological Data, Biological Knowledge Discovery Handbook: Preprocessing, Mining and Post-Processing of Biological Data, Mourad Elloumi and Albert Y. Zomaya (Eds.), John Wiley & Sons Inc., New Jersey, ISBN: 9781118132739, pp. 919-942, 2013. (PDF) (Source)

28.

Faraz Ahmad and Muhammad Abulaish, Identification of Sybil Communities Generating Context-Aware Spam on Online Social Networks, In Proceedings of the 15th Asia-Pacific Web Conference (APWeb'13), Sydney, Australia, pp. 268-279, April 4-6, 2013. (PDF) (Source)

2012


29.

Tarique Anwar and Muhammad Abulaish, An MCL-Based Text Mining Approach for Namesake Disambiguation on the Web, In Proceedings of the IEEE/WIC/ACM International Conference on Web Intelligence (WI'12), Macau, pp. 40-44, Dec. 4-7, 2012.  (PDF) (Source)

30.

Muhammad Abulaish and Tarique Anwar, A Supervised Learning Approach for Automatic Keyphrase Extraction, International Journal of Innovative Computing, Information and Control, vol. 8, no. 9, pp. 7579-7601, November 2012. (PDF) (Source)

31.

Muhammad Yasin, Muhammad Abulaish and Muhammad N. N. Elmogy, Forensic Analysis of Digsby Log Data to Trace Suspected User Activities, In Proceedings of the 9th FTRA International Conference on Secure and Trust Computing, Data Management, and Applications (STA'12), Gwangju, Korea, LNEE 180, Springer, pp. 119-126, September 6-8, 2012. (PDF) (Source)

32.

Muhammad Z. Rafique and Muhammad Abulaish, Graph-Based Learning Model for Detection of SMS Spam on Smart Phones, In Proceedings of the 8th International Wireless Communications and Mobile Computing Conference (IWCMC'12)Trust, Privacy and Security Symposium, Limasol, Cyprus, IEEE Computer Society, pp. 1046-1051, August 27-31, 2012. (PDF) (Source)

33.

Sajid Y. Bhat and Muhammad Abulaish, OCTracker: A Density-Based Framework for Tracking the Evolution of Overlapping Communities in OSNs, In Proceedings of the IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM'12), Istanbul, Turkey, August 26-29, 2012. (PDF) (Source)

34.

Nur Al-H. Haldar, Muhammad Abulaish and Syed A. Pasha, A Statistical Pattern Mining Approach for Identifying Wireless Network Intruders, In Proceedings of the 5th International Conference on Network Security and Applications (CNSA'12), Chennai, India, Advances in Intelligent Systems and Computing, Volume 176,  Springer, pp. 131-140, July 13-15, 2012. (PDF) (Source)

35.

Faraz Ahmad and Muhammad Abulaish, An MCL-Based Approach for Spam Profile Detection in Online Social Networks, In Proceedings of the 11th IEEE International Conference on Trust, Security and Privacy in Computing and Communications (IEEE-TrustCom), Liverpool, UK, IEEE Computer Society, pp. 602-608, June 25-27, 2012. (PDF) (Source)

36.

Tarique Anwar and Muhammad Abulaish, Mining an Enriched Social Graph to Model Cross-Thread Community Interactions and Interests, In Proceedings of the 3rd International Workshop on Modeling Social Media (MSM'12): Collective Intelligence in Social Media - Co-located with the 23rd ACM Conference on Hypertext and Social Media, Milwaukee, WI, USA, ACM, pp. 35-38, June 25-28, 2012. (PDF) (Source)

37.

Sajid Y. Bhat and Muhammad Abulaish, A Density-Based Approach for Mining Overlapping Communities from Social Network Interactions, In Proceedings of the 2nd International Conference on Web Intelligence, Mining and Semantics (WIMS'12), Craiova, Romania, ACM, pp. 9:1-9:7, June 13-15, 2012. (PDF) (Source)

38.

Ahmad Kamal, Muhammad Abulaish and Tarique Anwar, Mining Feature-Opinion Pairs and their Reliability Scores from Web Opinion Sources, In Proceedings of the 2nd International Conference on Web Intelligence, Mining and Semantics (WIMS'12), Craiova, Romania, ACM, pp. 15:1-15:7, June 13-15, 2012. (PDF) (Source)

39.

Tarique Anwar and Muhammad Abulaish, Identifying Cliques in Dark Web Forums – An Agglomerative Clustering Approach, In Proceedings of the 10th International Conference on Intelligence and Security Informatics (IEEE ISI'12), Washington DC, USA, IEEE Computer Society, pp. 171-174, June 11-14, 2012. (PDF) (Source)

40.

Nur Al-H. Haldar, Muhammad Abulaish and Syed A. Pasha, An Activity Pattern Based Wireless Intrusion Detection System, In Proceedings of the 9th International Conference on Information Technology: New Generations (ITNG'12), Las Vegas, Nevada, USA, IEEE Computer Society, pp. 846-847, April 16-18, 2012. (PDF) (Source)

41.

Fokrul A. Mazarbhuiya and Muhammad Abulaish, Clustering Periodic Frequent Patterns Using Fuzzy Statistical Parameters, International Journal of Innovative Computing, Information and Control, 8(3B), pp. 2113-2124, March 2012. (PDF) (Source)

2011


42.

Faraz  Ahmed, Muhammad Z. Rafique and Muhammad Abulaish, A Data Mining Framework for Securing 3G Core Network from GTP Fuzzing Attacks, In Proceedings of the 7th International Conference on Information Systems Security (ICISS’11), Kolkata, India, pp. 280-293, Dec. 15-19, 2011. (PDF) (Source)

43.

Muhammad Abulaish, Jahiruddin and Lipika Dey, A Statistical Approach for Automatic Keyphrase Extraction, In Proceedings of the 5th Indian International Conference on Artificial Intelligence (IICAI’11), Bangalore, India, December 14-16, 2011. (PDF) (Source)

44.

Waleed Halboob, Muhammad Abulaish and Khaled S. Alghathbar, Quaternary Privacy-Levels Preservation in Computer Forensics Investigation Process, In Proceedings of the 6th International Conference for Internet Technology and Secured Transactions (ICITST’11), Abu Dhabi, UAE, pp. 777-782, December 11-14, 2011. (PDF) (Source)

45.

Muhammad Abulaish, and Tarique Anwar, A Web Content Mining Approach for Tag Cloud Generation, In Proceedings of the 13th International Conference on Information Integration and Web-based Applications & Services (iiWAS’11), Vietnam, pp. 52-59, December 5-7, 2011. (PDF) (Source)

46.

Muhammad Abulaish, Jahiruddin and Lipika Dey, Deep Text Mining for Automatic Keyphrase Extraction from Text Documents, Journal of Intelligent Systems, vol. 20, no. 4, De Gruyter, Germany, pp. 327-352, 2011. (PDF) (Source)

47.

Muhammad Abulaish, Syed I. Nabi, Khaled S. Alghathbar and Azeddine Chikh, SIMOnt: A Security Information Management Ontology, In Proceedings of the 8th IEEE/FTRA International Conference on Secure and Trust Computing, Data Management, and Applications (STA’11), pp. 201-208, 2011. (PDF) (Source)

48.

Azeddine Chikh, Muhammad Abulaish, Syed I. Nabi and Khaled S. Alghathbar, An Ontology Based Information Security Requirements Engineering Framework, In Proceedings of the 8th IEEE/FTRA International Conference on Secure and Trust Computing, Data Management, and Applications (STA’11), pp. 139-146, 2011. (PDF) (Source)

49.

Tarique Anwar, Muhammad Abulaish and Khaled S. Alghathbar, Web Content Mining for Alias Identification: A first step towards suspect tracking, In Proceedings of the IEEE International Conference on Intelligence and Security Informatics (ISI’11), Bejing, China, pp. 195-197, 2011. (PDF) (Source)

50.

Muhammad Z. Rafique and Muhammad Abulaish, xMiner: Nip the Zero Day Exploits in the Bud, In Proceedings of the 10th IEEE International Symposium on Network Computing and Applications (IEEE NCA’11), Cambridge, MA, USA, pp. 99-106, 2011. (PDF) (Source)

51.

Muhammad Abulaish, Relation Characterization using Ontological Concepts, In Proceedings of the 8th International Conference on Information Technology: New Generations (ITNG’11), Las Vegas, Nevada, USA, April 11-13, pp. 585-590, 2011. (PDF) (Source)

2010


52.

Jahiruddin, Muhammad Abulaish and Lipika Dey, A Concept-Driven Biomedical Knowledge Extraction and Visualization Framework for Conceptualization of Text Corpora, Journal of Biomedical Informatics, vol. 43, no. 6, Elsevier, pp. 1020-1035, 2010. (PDF) (Source)

53.

Muhammad Abulaish, Tanvir Ahmad, Jahiruddin and Mohammed N. Doja, Opinion-Based Imprecise Query Answering, In Proceedings of the 14th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD'10), Hyderabad, India, LNAI-6119, Part-II, Springer-Verlag, pp. 238-248, June 21-24, 2010. (PDF) (Source)

54.

Muhammad Abulaish and Khaled S. Alghathbar, Automated Summarization and Visualization of Unstructured Text Documents, In Proceedings of the International Conference on IT and Business Intelligence (ITBI'10), Nagpur, India, November 12-14, 2010. (PDF) (Source)

2009


55.

Muhammad Abulaish, Jahiruddin and Lipika Dey, A Relation Mining and Visualization Framework for Automated Text Summarization, In Proceedings of the 3rd International Conference on Pattern Recognition and Machine Intelligence (PReMI’09), Delhi, India, LNCS-5909, Springer-Verlag, pp. 249-254, Dec. 16-20, 2009. (PDF) (Source)

56.

Muhammad Abulaish, Tanvir Ahmad, Jahiruddin and Mohammed N. Doja, Feature and Opinion Mining for Customer Review Summarization, In Proceedings of the 3rd International Conference on Pattern Recognition and Machine Intelligence (PReMI’09), Delhi, India, LNCS-5909, Springer-Verlag, pp. 219-224, Dec. 16-20, 2009. (PDF) (Source)

57.

Fokrul A. Mazarbhuiya, Muhammad Abulaish, Anjana K. Mahanta, and Tanvir Ahmad, Mining Local Association Rules from Temporal Data Set, In Proceedings of the 3rd International Conference on Pattern Recognition and Machine Intelligence (PReMI’09), Delhi, India, LNCS-5909, Springer-Verlag, pp. 255-260, December 16-20, 2009. (PDF) (Source)

58.

Muhammad Abulaish, Jahiruddin and Lipika Dey, Mining Biological Interactions from Biomedical Texts for Efficient Query Answering, Jake Y. Chen & Stefano Lonardi (Eds.), Biological Data Mining,  Chapman & Hall/CRC Data Mining and Knowledge Discovery Series, Taylor and Francis Group Publisher, ISBN: 9781420086843, pp. 485-527, 2009. (PDF) (Source)

59.

Muhammad Abulaish, An Ontology Enhancement Framework to Accommodate Imprecise Concepts and Relations, Journal of Emerging Technologies in Web Intelligence, vol. 1, no. 1, Academy Publisher, Finland, ISSN: 1798-0461, pp. 22-36, 2009. (PDF) (Source)

60.

Muhammad Abulaish and Qadri N. Naved, Knowledge-Based Information Extraction, In Proceedings of the 5th Saudi Technical Conference and Exhibition, Riyadh, KSA, Vol. II, pp. 181-187, Jan. 11-14, 2009. (PDF) (Source)

2008


61.

Lipika Dey and Muhammad Abulaish, A Fuzzy Ontology-Based Text Mining System for Knowledge Acquisition, Ontology Enhancement and Query Answering from Bio-Medical Texts, Computational Intelligence in Bioinformatics, Gary B. Fogel, David W. Corne and Yi Pan (Eds.), IEEE Press Series on Computational Intelligence, Wiley/ IEEE Inc., ISBN-9780470105269, pp. 297-339, 2008. (PDF) (Source)

62.

Lipika Dey and Muhammad Abulaish, Fuzzy Ontologies for Handling Uncertainties and Inconsistencies in Domain Knowledge Description, In Proceedings of the IEEE International Conference on Fuzzy Systems (FUZZ-IEEE’08), the 2008 IEEE World Congress on Computational Intelligence, Hong-Kong, China, pp. 1366-1373, June 1-6, 2008. (PDF) (Source)

2007


63.

Muhammad Abulaish and Lipika Dey, Biological Relation Extraction and Query Answering from Medline Abstracts using Ontology-based Text Mining, Data and Knowledge Engineering, vol. 61, no. 2, Elsevier, pp. 228-262, 2007. (PDF) (Source)

64.

Lipika Dey, Muhammad Abulaish, Rohit Goyel and Jahiruddin, Semantic Integration of Information through Relation Mining – Application to Bio-Medical Text Processing, In Proceedings of the 2nd International Conference on Pattern Recognition and Machine Intelligence (PReMI'07), ISI Kolkata, India, LNCS, Springer-Verlag, pp. 365-372, Dec. 18-22, 2007. (PDF) (Source)

65.

Lipika Dey, Muhammad Abulaish and Jahiruddin, Relation Extraction from Texts for Efficient Access to Information – Application to Bio-Medical Text Processing, In Proceedings of the 3rd Indian International Conference on Artificial Intelligence (IICAI'07), Pune, India, pp. 1719-1737, 2007. (PDF) (Source)

66.

Muhammad Abulaish and Lipika Dey, A Fuzzy Ontology Generation Framework for Handling Uncertainties and Non-uniformity in Domain Knowledge Description, In Proceedings of the International Conference on Computing: Theory and Applications (ICCTA'07), ISI Kolkata, India, pp. 287-293, 2007. (PDF) (Source)

67.

Lipika Dey, Muhammad Abulaish, Gaurav Sharma and Jahiruddin, Text Mining through Entity-Relationship Based Information Extraction, In Proceedings of the Workshop on Biomedical Applications of Web Technologies, Co-located with IEEE/WIC/ACM International Conference on Web Intelligence (WI'07), Silicon Valley, USA, pp. 177-180, Nov. 2-5, 2007. (PDF) (Source)

68.

Muhammad T. Afzal and Muhammad Abulaish, Ontological Representation for Links into the Future, In Proceedings of the International Conference on Convergence Information Technology (ICCIT'07), Korea, pp. 1832-1837, 2007. (PDF) (Source)

69.

Lipika Dey, Muhammad Abulaish, Rohit Goyal and Kumar Shubham, A Rough-Fuzzy Ontology Generation Framework and Its Application to Bio-medical Text Processing, In Proceedings of the 5th Atlantic Web Intelligence Conference (AWIC'07), Fontainebleau, France, Advances in Intelligent Web Mastering (Advances in Soft Computing Series, Volume 43), Springer Berlin/Heidelberg, pp. 74–79, June 25-27, 2007. (PDF) (Source)

2006


70.

Muhammad Abulaish and Lipika Dey, Information Extraction and Imprecise Query Answering from Web Documents, Web Intelligence and Agent Systems – An International Journal, vol. 4, no. 4, IOS Press, Netherland, pp. 407-429, 2006. (PDF) (Source)

71.

Muhammad Abulaish and Lipika Dey, Interoperability among Distributed Overlapping Ontologies – A Fuzzy Ontology Framework, In Proceedings of the IEEE/WIC/ACM International Conference on Web Intelligence (WI'06), Hong Kong, pp. 397-403, 2006. (PDF) (Source)

72.

Lipika Dey and Muhammad Abulaish, Enhancing a Biological Concept Ontology to Fuzzy Relational Ontology with Relations Mined from Text, In Proceedings of the 5th International Conference on Rough Sets and Current Trends in Computing (RSCTC'06), Japan, LNCS-4259, Springer-Verlag, pp. 527-536, 2006. (PDF) (Source)

2005


73.

Lipika Dey and Muhammad Abulaish, Ontology Enhancement for Including Newly Acquired Knowledge about Concept Descriptions and Answering Imprecise Queries, Web Semantics and Ontology, David Taniar and Johanna W. Rahayu (Eds.), IGI Global, USA, ISBN: 9781591409052, pp. 189-225, 2005. (PDF) (Source)

74.

Muhammad Abulaish and Lipika Dey, Biological Ontology Enhancement with Fuzzy Relations: A Text-Mining Framework, In Proceedings of the IEEE/WIC/ACM International Conference on Web Intelligence (WI'05), France, pp. 379-385, 2005. (PDF) (Source)

75.

Muhammad Abulaish and Lipika Dey, An Ontology-based Pattern Mining System for Extracting Information from Biological Texts, In Proceedings of the 10th International Conference on Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing (RSFDGrC'05), Canada, LNCS-3642, Springer-Verlag, pp. 420-429, 2005. (PDF) (Source)

76.

Muhammad Abulaish and Lipika Dey, Knowledge Enhancement through Ontology-Gided Text Mining, In Proceedings of the 1st International Conference on Pattern Recognition and Machine Intelligence (PReMI'05), Kolkata, India, LNCS-3776, Springer-Verlag, pp. 601-604, 2005. (PDF) (Source)

2004


77.

Muhammad Abulaish and Lipika Dey, Intelligent Query Processing Using Semantic Web and Ontology, Journal of Computer Society of India, vol. 34, no. 2, pp. 32-41, 2004. (PDF) (Source)

78.

Shailendra Singh, Lipika Dey and Muhammad Abulaish, A Framework for Extending Fuzzy Description Logic to Ontology Based Document Processing, In Proceedings of the Advances in Web Intelligence: 2nd International Atlantic Web Intelligence Conference (AWIC'04), Cancun, Mexico, LNCS-3034, Springer-Verlag, pp. 95–104, 2004. (PDF) (Source)

79.

Muhammad Abulaish and Lipika Dey, Using Part-of-Speech Patterns and Domain Ontology to Mine Imprecise Concepts from Text Documents, In Proceedings of the 6th International Conference on Information Integration and Web Based Applications and Services (iiWAS’04), Jakarta, Indonesia, pp. 91-100, 2004. (PDF) (Source)

2003


80.

Muhammad Abulaish and Lipika Dey, Ontology Based Fuzzy Deductive System to Handle Imprecise Knowledge, In Proceedings of the 4th International Conference on Intelligent Technologies (InTech’03), Chiang Mai, Thailand, pp. 271-278, 2003. (PDF) (Source)

Data Analytics/ Social Computing


1.

Ramzan Ali Bahrami, Jayati Gulati, and Muhammad Abulaish, Efficient Processing of SPARQL Queries Over GraphFrames, In Proceedings of the IEEE/WIC/ACM International Conference on Web Intelligence (WI), Lepzig, Germany, pp. 1-8, August 23-26, 2017. (accepted and to appear) (URL) (PDF) (BibTex)

2.

Mohd. Fazil, and Muhammad Abulaish, Identifying Active, Reactive, and Inactive Targets of Socialbots in Twitter, In Proceedings of the IEEE/WIC/ACM International Conference on Web Intelligence (WI), Lepzig, Germany, pp. 1-8, August 23-26, 2017. (accepted and to appear) (URL) (PDF) (BibTex)

3.

Sajid Yousuf Bhat, and Muhammad Abulaish, A Unified Framework for Community Structure Analysis in Dynamic Social Networks, Hema Banati, Siddhartha Bhattacharyya, Ashish Mani, and Mario Koppen (Eds.) Hybrid Intelligence for Social Networks, Springer, pp. 1-21, 2017. (accepted and to appear) (URL) (PDF) (BibTex)

4.

Mohd Fazil and Muhammad Abulaish, Why a Socialbot is Effective in Twitter? A Statistical Insight, In Proceedings of the 9th International Conference on Communication Systems and Networks (COMSNETS), Social Networking Workshop, Bengaluru, India, pp. 562-567, January 4-8, 2017. (URL) (PDF) (BibTex) (received best paper award)

5.

Sajid Y. Bhat and Muhammad Abulaish, OCMiner: A Density-Based Overlapping Community Detection Method for Social Networks, Intelligent Data Analysis, Vol. 19, Issue 4, IOS Press, pp. 917-947, 2015. (URL) (PDF) (BibTex)

6.

Muhammad Abulaish and Sajid Y. Bhat, Classifier Ensembles using Structural Features for Spammer Detection in Online Social Networks, Foundations of Computing and Decision Sciences, Vol. 40, Issue 2, Poznan University of Technology, Poland, pp. 89-105, 2015. (URL) (PDF) (BibTex)

7.

Nausheen Azam, Jahiruddin, Muhammad Abulaish, and Nur Al-Hasan Haldar, Twitter Data Mining for Events Classification and Analysis, In Proceedings of the 2nd International Conference on Soft Computing and Machine Intelligence (ISCMI’15), Hong Kong, IEEE CPS, Nov. 23-24, 2015 (to appear). (URL) (PDF) (BibTex)

8.

Sajid Y. Bhat and Muhammad Abulaish, HOCTracker: Tracking the Evolution of Hierarchical and Overlapping Communities in Dynamic Social Networks, IEEE Transactions on Knowledge and Data Engineering, Vol. 27, Issue 4, pp. 1019-1032, 2014. (URL) (PDF) (BibTex)

9.

Sajid Y. Bhat, Muhammad Abulaish, and Abdulrahman A. Mirza, Spammer Classification using Ensemble Methods over Structural Social Network Features, In Proceedings of the 14th IEEE/WIC/ACM International Conference on Web Intelligence (WI’14), Warsaw, Poland, pp. 454-458, Aug. 11-14, 2014. (PDF) (Source)

10.

Muhammad Abulaish and Sajid Y. Bhat, A Density-Based Approach to Detect Community Evolutionary Events in Online Social Networks, F. Can et al. (Eds.), State of the Art Applications of Social Network Analysis, Lecture Notes in Social Networks, Springer, ISBN: 978-3-319-05911-2, pp. 189-208, 2014. (Extended version of the paper presented at ASONAM'12) (PDF) (Source)

11.

Sajid Y. Bhat and Muhammad Abulaish, Analysis and Mining of Online Social Networks - Emerging Trends and Challenges, WIREs Data Mining and Knowledge Discovery, 3(6), John Wiley and Sons,  ISSN: 1942-4787, pp. 408-444, Nov/Dec 2013. (PDF) (Source)

12.

Faraz Ahmed and Muhammad Abulaish, A Generic Statistical Approach for Spam Detection in Online Social Networks, Computer Communications, 36(10-11), Elsevier, ISSN: 0140-3664, pp. 1120-1129, June 2013. (PDF) (Source)

13.

Mudassir Wani, Majid A. Alrubaian, and Muhammad Abulaish, A User-Centric Feature Identification and Modeling Approach to Infer Social Ties in OSNs In Proceedings of the 15th International Conference on Information Integration and Web-based Applications & Services (iiWAS’13), Vienna, Austria, pp. 107-114, Dec. 2-4, 2013. (PDF) (Source)

14.

Sajid Y. Bhat and Muhammad Abulaish, Community-Based Features for Identifying Spammers in Online Social Networks, In Proceedings of the IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM'13), Niagara Falls, Canada, ACM, pp. 100-107, Aug. 25-28, 2013. (PDF) (Source)

15.

Tarique Anwar and Muhammad Abulaish, Modeling a Web Forum Ecosystem into an Enriched Social Graph, Martin Atzmueller, Alvin Chin, Denis Helic, and Andreas Hotho (Eds.), Ubiquitous Social Media Analysis, LNCS Vol. 8329, ISBN: 978-3-642-45391, Springer, pp. 152-152, 2013. (Extended version of the paper presented at MSM'12) (PDF) (Source)

16.

Sajid Y. Bhat and Muhammad Abulaish, Overlapping Social Network Communities and Viral Marketing, In Proceedings of the International Symposium on Computational and Business Intelligence (ISCBI'13), Delhi, India, IEEE, pp. 243-346, Aug. 24-26, 2013. (PDF) (Source)

17.

Faraz Ahmad and Muhammad Abulaish, Identification of Sybil Communities Generating Context-Aware Spam on Online Social Networks, In Proceedings of the 15th Asia-Pacific Web Conference (APWeb'13), Sydney, Australia, pp. 268-279, April 4-6, 2013. (PDF) (Source)

18.

Tarique Anwar and Muhammad Abulaish, An MCL-Based Text Mining Approach for Namesake Disambiguation on the Web, In Proceedings of the IEEE/WIC/ACM International Conference on Web Intelligence (WI'12), Macau, pp. 40-44, Dec. 4-7, 2012.  (PDF) (Source)

19.

Sajid Y. Bhat and Muhammad Abulaish, OCTracker: A Density-Based Framework for Tracking the Evolution of Overlapping Communities in OSNs, In Proceedings of the IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM'12), Istanbul, Turkey, August 26-29, 2012. (PDF) (Source)

20.

Sajid Y. Bhat and Muhammad Abulaish, A Density-Based Approach for Mining Overlapping Communities from Social Network Interactions, In Proceedings of the 2nd International Conference on Web Intelligence, Mining and Semantics (WIMS'12), Craiova, Romania, ACM, pp. 9:1-9:7, June 13-15, 2012. (PDF) (Source)

Intelligence and Security Informatics


21.

Tarique Anwar and Muhammad Abulaish, Ranking Radically Influential Web Forum Users, IEEE Transactions on Information Forensics and Security, Vol. 10, Issue 6, pp. 1289-1298, 2015. (URL) (PDF) (BibTex)

22.

Khalid Al-Rowaily, Muhammad Abulaish, Nur Al-Hasan Haldar, and Majed Al-Rubaiana, BiSAL – A bilingual sentiment analysis lexicon to analyze Dark Web forums for cyber security, Digital Investigation, Vol. 14, Elsevier, pp. 53-62, 2015. (URL) (PDF) (BibTex)

23.

Waleed Halboob, Ramlan Mahmod, Muhammad Abulaish, Haider Abbas and Kashif Saleem, Data Warehousing Based Computer Forensics Investigation Framework, In Proceedings of the 12th International Conference on Information Technology - New Generations (ITNG), Las Vegas, NV, USA , pp. 163-168, April 13-15, 2015. (URL) (PDF) (BibTex)

24.

Tarique Anwar and Muhammad Abulaish, Namesake Alias Mining on the Web and its Role Towards Suspect Tracking, Information Sciences, Vol. 276, pp. 123-145, 2014. (URL) (PDF) (BibTex)

25.

Sajid Y. Bhat and Muhammad Abulaish, Communities against Deception in Online Social Networks, Computer Fraud and Security, 2014(2), Elsevier, ISSN: 1361-3723, pp. 8-16, Feb. 2014. (PDF) (Source)

26.

Tarique Anwar and Muhammad Abulaish, A social graph based text mining framework for chat log investigation, Digital Investigation, Vol. 11, Issue 4, Elsevier, pp. 349-362, 2014. (PDF) (Source)

27.

Muhammad Yasin and Muhammad Abulaish, DigLA - A Digsby Log Analysis Tool to Identify Forensic Artifacts, Digital Investigation, 9(3-4), Elsevier, ISSN: 1742-2876, pp. 222-234, 2013. (PDF) (Source)

28.

Muhammad Yasin, Muhammad Abulaish and Muhammad N. N. Elmogy, Forensic Analysis of Digsby Log Data to Trace Suspected User Activities, In Proceedings of the 9th FTRA International Conference on Secure and Trust Computing, Data Management, and Applications (STA'12), Gwangju, Korea, LNEE 180, Springer, pp. 119-126, September 6-8, 2012. (PDF) (Source)

29.

Muhammad Z. Rafique and Muhammad Abulaish, Graph-Based Learning Model for Detection of SMS Spam on Smart Phones, In Proceedings of the 8th International Wireless Communications and Mobile Computing Conference (IWCMC'12)Trust, Privacy and Security Symposium, Limasol, Cyprus, IEEE Computer Society, pp. 1046-1051, August 27-31, 2012. (PDF) (Source)

30.

Nur Al-H. Haldar, Muhammad Abulaish and Syed A. Pasha, A Statistical Pattern Mining Approach for Identifying Wireless Network Intruders, In Proceedings of the 5th International Conference on Network Security and Applications (CNSA'12), Chennai, India, Advances in Intelligent Systems and Computing, Volume 176,  Springer, pp. 131-140, July 13-15, 2012. (PDF) (Source)

31.

Faraz Ahmad and Muhammad Abulaish, An MCL-Based Approach for Spam Profile Detection in Online Social Networks, In Proceedings of the 11th IEEE International Conference on Trust, Security and Privacy in Computing and Communications (IEEE-TrustCom), Liverpool, UK, IEEE Computer Society, pp. 602-608, June 25-27, 2012. (PDF) (Source)

32.

Tarique Anwar and Muhammad Abulaish, Mining an Enriched Social Graph to Model Cross-Thread Community Interactions and Interests, In Proceedings of the 3rd International Workshop on Modeling Social Media (MSM'12): Collective Intelligence in Social Media - Co-located with the 23rd ACM Conference on Hypertext and Social Media, Milwaukee, WI, USA, ACM, pp. 35-38, June 25-28, 2012. (PDF) (Source)

33.

Tarique Anwar and Muhammad Abulaish, Identifying Cliques in Dark Web Forums – An Agglomerative Clustering Approach, In Proceedings of the 10th International Conference on Intelligence and Security Informatics (IEEE ISI'12), Washington DC, USA, IEEE Computer Society, pp. 171-174, June 11-14, 2012. (PDF) (Source)

34.

Nur Al-H. Haldar, Muhammad Abulaish and Syed A. Pasha, An Activity Pattern Based Wireless Intrusion Detection System, In Proceedings of the 9th International Conference on Information Technology: New Generations (ITNG'12), Las Vegas, Nevada, USA, IEEE Computer Society, pp. 846-847, April 16-18, 2012. (PDF) (Source)

35.

Faraz  Ahmed, Muhammad Z. Rafique and Muhammad Abulaish, A Data Mining Framework for Securing 3G Core Network from GTP Fuzzing Attacks, In Proceedings of the 7th International Conference on Information Systems Security (ICISS’11), Kolkata, India, pp. 280-293, Dec. 15-19, 2011. (PDF) (Source)

36.

Waleed Halboob, Muhammad Abulaish and Khaled S. Alghathbar, Quaternary Privacy-Levels Preservation in Computer Forensics Investigation Process, In Proceedings of the 6th International Conference for Internet Technology and Secured Transactions (ICITST’11), Abu Dhabi, UAE, pp. 777-782, December 11-14, 2011. (PDF) (Source)

37.

Muhammad Abulaish, Syed I. Nabi, Khaled S. Alghathbar and Azeddine Chikh, SIMOnt: A Security Information Management Ontology, In Proceedings of the 8th IEEE/FTRA International Conference on Secure and Trust Computing, Data Management, and Applications (STA’11), pp. 201-208, 2011. (PDF) (Source)

38.

Azeddine Chikh, Muhammad Abulaish, Syed I. Nabi and Khaled S. Alghathbar, An Ontology Based Information Security Requirements Engineering Framework, In Proceedings of the 8th IEEE/FTRA International Conference on Secure and Trust Computing, Data Management, and Applications (STA’11), pp. 139-146, 2011. (PDF) (Source)

39.

Tarique Anwar, Muhammad Abulaish and Khaled S. Alghathbar, Web Content Mining for Alias Identification: A first step towards suspect tracking, In Proceedings of the IEEE International Conference on Intelligence and Security Informatics (ISI’11), Bejing, China, pp. 195-197, 2011. (PDF) (Source)

40.

Muhammad Z. Rafique and Muhammad Abulaish, xMiner: Nip the Zero Day Exploits in the Bud, In Proceedings of the 10th IEEE International Symposium on Network Computing and Applications (IEEE NCA’11), Cambridge, MA, USA, pp. 99-106, 2011. (PDF) (Source)

Text Mining/ Web Mining/ Opinion Mining


41.

Ahmad Kamal, Muhammad Abulaish, and Jahiruddin, OntoLSA - An Integrated Text Mining System for Ontology Learning and Sentiment Analysis, Witold Pedrycz and Shyi-Ming Chen (Eds.) Sentiment Analysis and Ontology Engineering, Studies in Computational Intelligence 639, Springer, ISBN: 978-3-319-30317-8, pp. 399-423, 2016. (URL) (PDF) (BibTex)

42.

Ahmad Kamal and Muhammad Abulaish, Statistical Features Identification for Sentiment Analysis using Machine Learning Techniques, In Proceedings of the International Symposium on Computational and Business Intelligence (ISCBI'13), IEEE, pp. 178-181, Aug. 24-26, 2013. (PDF) (Source)

43.

Muhammad Abulaish and Tarique Anwar, A Keyphrase-Based Tag Cloud Generation Framework to Conceptualize Textual Data, International Journal of Adaptive, Resilient and Autonomic Systems, Vol. 4, No. 2, IGI Global, USA, ISSN: 1947-9220, pp. 72-93, 2013. (Spl. issue: selected papers from iiWAS'11) (PDF) (Source)

44.

Muhammad Abulaish and Jahiruddin, Web-Content Mining for Learning Generic Relations and their Associations from Textual Biological Data, Biological Knowledge Discovery Handbook: Preprocessing, Mining and Post-Processing of Biological Data, Mourad Elloumi and Albert Y. Zomaya (Eds.), John Wiley & Sons Inc., New Jersey, ISBN: 9781118132739, pp. 919-942, 2013. (PDF) (Source)

45.

Muhammad Abulaish and Tarique Anwar, A Supervised Learning Approach for Automatic Keyphrase Extraction, International Journal of Innovative Computing, Information and Control, vol. 8, no. 9, pp. 7579-7601, November 2012. (PDF) (Source)

46.

Ahmad Kamal, Muhammad Abulaish and Tarique Anwar, Mining Feature-Opinion Pairs and their Reliability Scores from Web Opinion Sources, In Proceedings of the 2nd International Conference on Web Intelligence, Mining and Semantics (WIMS'12), Craiova, Romania, ACM, pp. 15:1-15:7, June 13-15, 2012. (PDF) (Source)

47.

Fokrul A. Mazarbhuiya and Muhammad Abulaish, Clustering Periodic Frequent Patterns Using Fuzzy Statistical Parameters, International Journal of Innovative Computing, Information and Control, 8(3B), pp. 2113-2124, March 2012. (PDF) (Source)

48.

Muhammad Abulaish, Jahiruddin and Lipika Dey, A Statistical Approach for Automatic Keyphrase Extraction, In Proceedings of the 5th Indian International Conference on Artificial Intelligence (IICAI’11), Bangalore, India, December 14-16, 2011. (PDF) (Source)

49.

Muhammad Abulaish, and Tarique Anwar, A Web Content Mining Approach for Tag Cloud Generation, In Proceedings of the 13th International Conference on Information Integration and Web-based Applications & Services (iiWAS’11), Vietnam, pp. 52-59, December 5-7, 2011. (PDF) (Source)

50.

Muhammad Abulaish, Jahiruddin and Lipika Dey, Deep Text Mining for Automatic Keyphrase Extraction from Text Documents, Journal of Intelligent Systems, vol. 20, no. 4, De Gruyter, Germany, pp. 327-352, 2011. (PDF) (Source)

51.

Muhammad Abulaish, Tanvir Ahmad, Jahiruddin and Mohammed N. Doja, Opinion-Based Imprecise Query Answering, In Proceedings of the 14th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD'10), Hyderabad, India, LNAI-6119, Part-II, Springer-Verlag, pp. 238-248, June 21-24, 2010. (PDF) (Source)

52.

Muhammad Abulaish and Khaled S. Alghathbar, Automated Summarization and Visualization of Unstructured Text Documents, In Proceedings of the International Conference on IT and Business Intelligence (ITBI'10), Nagpur, India, November 12-14, 2010. (PDF) (Source)

53.

Muhammad Abulaish, Tanvir Ahmad, Jahiruddin and Mohammed N. Doja, Feature and Opinion Mining for Customer Review Summarization, In Proceedings of the 3rd International Conference on Pattern Recognition and Machine Intelligence (PReMI’09), Delhi, India, LNCS-5909, Springer-Verlag, pp. 219-224, Dec. 16-20, 2009. (PDF) (Source)

54.

Fokrul A. Mazarbhuiya, Muhammad Abulaish, Anjana K. Mahanta, and Tanvir Ahmad, Mining Local Association Rules from Temporal Data Set, In Proceedings of the 3rd International Conference on Pattern Recognition and Machine Intelligence (PReMI’09), Delhi, India, LNCS-5909, Springer-Verlag, pp. 255-260, December 16-20, 2009. (PDF) (Source)

55.

Muhammad Abulaish and Qadri N. Naved, Knowledge-Based Information Extraction, In Proceedings of the 5th Saudi Technical Conference and Exhibition, Riyadh, KSA, Vol. II, pp. 181-187, Jan. 11-14, 2009. (PDF) (Source)

56.

Muhammad Abulaish and Lipika Dey, A Fuzzy Ontology Generation Framework for Handling Uncertainties and Non-uniformity in Domain Knowledge Description, In Proceedings of the International Conference on Computing: Theory and Applications (ICCTA'07), ISI Kolkata, India, pp. 287-293, 2007. (PDF) (Source)

57.

Lipika Dey, Muhammad Abulaish, Gaurav Sharma and Jahiruddin, Text Mining through Entity-Relationship Based Information Extraction, In Proceedings of the Workshop on Biomedical Applications of Web Technologies, Co-located with IEEE/WIC/ACM International Conference on Web Intelligence (WI'07), Silicon Valley, USA, pp. 177-180, Nov. 2-5, 2007. (PDF) (Source)

58.

Muhammad Abulaish and Lipika Dey, Information Extraction and Imprecise Query Answering from Web Documents, Web Intelligence and Agent Systems – An International Journal, vol. 4, no. 4, IOS Press, Netherland, pp. 407-429, 2006. (PDF) (Source)

Biomedical Text Mining


59.

Muhammad Abulaish, Relation Characterization using Ontological Concepts, In Proceedings of the 8th International Conference on Information Technology: New Generations (ITNG’11), Las Vegas, Nevada, USA, April 11-13, pp. 585-590, 2011. (PDF) (Source)

60.

Jahiruddin, Muhammad Abulaish and Lipika Dey, A Concept-Driven Biomedical Knowledge Extraction and Visualization Framework for Conceptualization of Text Corpora, Journal of Biomedical Informatics, vol. 43, no. 6, Elsevier, pp. 1020-1035, 2010. (PDF) (Source)

61.

Muhammad Abulaish, Jahiruddin and Lipika Dey, A Relation Mining and Visualization Framework for Automated Text Summarization, In Proceedings of the 3rd International Conference on Pattern Recognition and Machine Intelligence (PReMI’09), Delhi, India, LNCS-5909, Springer-Verlag, pp. 249-254, Dec. 16-20, 2009. (PDF) (Source)

62.

Muhammad Abulaish, Jahiruddin and Lipika Dey, Mining Biological Interactions from Biomedical Texts for Efficient Query Answering, Jake Y. Chen & Stefano Lonardi (Eds.), Biological Data Mining,  Chapman & Hall/CRC Data Mining and Knowledge Discovery Series, Taylor and Francis Group Publisher, ISBN: 9781420086843, pp. 485-527, 2009. (PDF) (Source)

63.

Lipika Dey and Muhammad Abulaish, A Fuzzy Ontology-Based Text Mining System for Knowledge Acquisition, Ontology Enhancement and Query Answering from Bio-Medical Texts, Computational Intelligence in Bioinformatics, Gary B. Fogel, David W. Corne and Yi Pan (Eds.), IEEE Press Series on Computational Intelligence, Wiley/ IEEE Inc., ISBN-9780470105269, pp. 297-339, 2008. (PDF) (Source)

64.

Muhammad Abulaish and Lipika Dey, Biological Relation Extraction and Query Answering from Medline Abstracts using Ontology-based Text Mining, Data and Knowledge Engineering, vol. 61, no. 2, Elsevier, pp. 228-262, 2007. (PDF) (Source)

65.

Lipika Dey, Muhammad Abulaish, Rohit Goyel and Jahiruddin, Semantic Integration of Information through Relation Mining – Application to Bio-Medical Text Processing, In Proceedings of the 2nd International Conference on Pattern Recognition and Machine Intelligence (PReMI'07), ISI Kolkata, India, LNCS, Springer-Verlag, pp. 365-372, Dec. 18-22, 2007. (PDF) (Source)

66.

Lipika Dey, Muhammad Abulaish and Jahiruddin, Relation Extraction from Texts for Efficient Access to Information – Application to Bio-Medical Text Processing, In Proceedings of the 3rd Indian International Conference on Artificial Intelligence (IICAI'07), Pune, India, pp. 1719-1737, 2007. (PDF) (Source)

67.

Lipika Dey, Muhammad Abulaish, Rohit Goyal and Kumar Shubham, A Rough-Fuzzy Ontology Generation Framework and Its Application to Bio-medical Text Processing, In Proceedings of the 5th Atlantic Web Intelligence Conference (AWIC'07), Fontainebleau, France, Advances in Intelligent Web Mastering (Advances in Soft Computing Series, Volume 43), Springer Berlin/Heidelberg, pp. 74–79, June 25-27, 2007. (PDF) (Source)

68.

Lipika Dey and Muhammad Abulaish, Enhancing a Biological Concept Ontology to Fuzzy Relational Ontology with Relations Mined from Text, In Proceedings of the 5th International Conference on Rough Sets and Current Trends in Computing (RSCTC'06), Japan, LNCS-4259, Springer-Verlag, pp. 527-536, 2006. (PDF) (Source)

69.

Muhammad Abulaish and Lipika Dey, Biological Ontology Enhancement with Fuzzy Relations: A Text-Mining Framework, In Proceedings of the IEEE/WIC/ACM International Conference on Web Intelligence (WI'05), France, pp. 379-385, 2005. (PDF) (Source)

70.

Muhammad Abulaish and Lipika Dey, An Ontology-based Pattern Mining System for Extracting Information from Biological Texts, In Proceedings of the 10th International Conference on Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing (RSFDGrC'05), Canada, LNCS-3642, Springer-Verlag, pp. 420-429, 2005. (PDF) (Source)

Semantic Web and Ontology


71.

Muhammad Abulaish, An Ontology Enhancement Framework to Accommodate Imprecise Concepts and Relations, Journal of Emerging Technologies in Web Intelligence, vol. 1, no. 1, Academy Publisher, Finland, ISSN: 1798-0461, pp. 22-36, 2009. (PDF) (Source)

72.

Lipika Dey and Muhammad Abulaish, Fuzzy Ontologies for Handling Uncertainties and Inconsistencies in Domain Knowledge Description, In Proceedings of the IEEE International Conference on Fuzzy Systems (FUZZ-IEEE’08), the 2008 IEEE World Congress on Computational Intelligence, Hong-Kong, China, pp. 1366-1373, June 1-6, 2008. (PDF) (Source)

73.

Muhammad T. Afzal and Muhammad Abulaish, Ontological Representation for Links into the Future, In Proceedings of the International Conference on Convergence Information Technology (ICCIT'07), Korea, pp. 1832-1837, 2007. (PDF) (Source)

74.

Muhammad Abulaish and Lipika Dey, Interoperability among Distributed Overlapping Ontologies – A Fuzzy Ontology Framework, In Proceedings of the IEEE/WIC/ACM International Conference on Web Intelligence (WI'06), Hong Kong, pp. 397-403, 2006. (PDF) (Source)

75.

Lipika Dey and Muhammad Abulaish, Ontology Enhancement for Including Newly Acquired Knowledge about Concept Descriptions and Answering Imprecise Queries, Web Semantics and Ontology, David Taniar and Johanna W. Rahayu (Eds.), IGI Global, USA, ISBN: 9781591409052, pp. 189-225, 2005. (PDF) (Source)

76.

Muhammad Abulaish and Lipika Dey, Knowledge Enhancement through Ontology-Gided Text Mining, In Proceedings of the 1st International Conference on Pattern Recognition and Machine Intelligence (PReMI'05), Kolkata, India, LNCS-3776, Springer-Verlag, pp. 601-604, 2005. (PDF) (Source)

77.

Muhammad Abulaish and Lipika Dey, Intelligent Query Processing Using Semantic Web and Ontology, Journal of Computer Society of India, vol. 34, no. 2, pp. 32-41, 2004. (PDF) (Source)

78.

Shailendra Singh, Lipika Dey and Muhammad Abulaish, A Framework for Extending Fuzzy Description Logic to Ontology Based Document Processing, In Proceedings of the Advances in Web Intelligence: 2nd International Atlantic Web Intelligence Conference (AWIC'04), Cancun, Mexico, LNCS-3034, Springer-Verlag, pp. 95–104, 2004. (PDF) (Source)

79.

Muhammad Abulaish and Lipika Dey, Using Part-of-Speech Patterns and Domain Ontology to Mine Imprecise Concepts from Text Documents, In Proceedings of the 6th International Conference on Information Integration and Web Based Applications and Services (iiWAS’04), Jakarta, Indonesia, pp. 91-100, 2004. (PDF) (Source)

80.

Muhammad Abulaish and Lipika Dey, Ontology Based Fuzzy Deductive System to Handle Imprecise Knowledge, In Proceedings of the 4th International Conference on Intelligent Technologies (InTech’03), Chiang Mai, Thailand, pp. 271-278, 2003. (PDF) (Source)

Journals


1.

Tarique Anwar and Muhammad Abulaish, Ranking Radically Influential Web Forum Users, IEEE Transactions on Information Forensics and Security, Vol. 10, Issue 6, pp. 1289-1298, 2015. (URL) (PDF) (BibTex)

2.

Sajid Y. Bhat and Muhammad Abulaish, OCMiner: A Density-Based Overlapping Community Detection Method for Social Networks, Intelligent Data Analysis, Vol. 19, Issue 4, IOS Press, pp. 917-947, 2015. (URL) (PDF) (BibTex)

3.

Khalid Al-Rowaily, Muhammad Abulaish, Nur Al-Hasan Haldar, and Majed Al-Rubaiana, BiSAL – A bilingual sentiment analysis lexicon to analyze Dark Web forums for cyber security, Digital Investigation, Vol. 14, Elsevier, pp. 53-62, 2015. (URL) (PDF) (BibTex)

4.

Muhammad Abulaish and Sajid Y. Bhat, Classifier Ensembles using Structural Features for Spammer Detection in Online Social Networks, Foundations of Computing and Decision Sciences, Vol. 40, Issue 2, Poznan University of Technology, Poland, pp. 89-105, 2015. (URL) (PDF) (BibTex)

5.

Sajid Y. Bhat and Muhammad Abulaish, HOCTracker: Tracking the Evolution of Hierarchical and Overlapping Communities in Dynamic Social Networks, IEEE Transactions on Knowledge and Data Engineering, Vol. 27, Issue 4, pp. 1019-1032, 2014. (URL) (PDF) (BibTex)

6.

Tarique Anwar and Muhammad Abulaish, Namesake Alias Mining on the Web and its Role Towards Suspect Tracking, Information Sciences, Vol. 276, pp. 123-145, 2014. (URL) (PDF) (BibTex)

7.

Sajid Y. Bhat and Muhammad Abulaish, Communities against Deception in Online Social Networks, Computer Fraud and Security, 2014(2), Elsevier, ISSN: 1361-3723, pp. 8-16, Feb. 2014. (PDF) (Source)

8.

Tarique Anwar and Muhammad Abulaish, A social graph based text mining framework for chat log investigation, Digital Investigation, Vol. 11, Issue 4, Elsevier, pp. 349-362, 2014. (PDF) (Source)

9.

Sajid Y. Bhat and Muhammad Abulaish, Analysis and Mining of Online Social Networks - Emerging Trends and Challenges, WIREs Data Mining and Knowledge Discovery, 3(6), John Wiley and Sons,  ISSN: 1942-4787, pp. 408-444, Nov/Dec 2013. (PDF) (Source)

10.

Faraz Ahmed and Muhammad Abulaish, A Generic Statistical Approach for Spam Detection in Online Social Networks, Computer Communications, 36(10-11), Elsevier, ISSN: 0140-3664, pp. 1120-1129, June 2013. (PDF) (Source)

11.

Muhammad Yasin and Muhammad Abulaish, DigLA - A Digsby Log Analysis Tool to Identify Forensic Artifacts, Digital Investigation, 9(3-4), Elsevier, ISSN: 1742-2876, pp. 222-234, 2013. (PDF) (Source)

12.

Muhammad Abulaish and Tarique Anwar, A Keyphrase-Based Tag Cloud Generation Framework to Conceptualize Textual Data, International Journal of Adaptive, Resilient and Autonomic Systems, Vol. 4, No. 2, IGI Global, USA, ISSN: 1947-9220, pp. 72-93, 2013. (Spl. issue: selected papers from iiWAS'11) (PDF) (Source)

13.

Muhammad Abulaish and Tarique Anwar, A Supervised Learning Approach for Automatic Keyphrase Extraction, International Journal of Innovative Computing, Information and Control, vol. 8, no. 9, pp. 7579-7601, November 2012. (PDF) (Source)

14.

Fokrul A. Mazarbhuiya and Muhammad Abulaish, Clustering Periodic Frequent Patterns Using Fuzzy Statistical Parameters, International Journal of Innovative Computing, Information and Control, 8(3B), pp. 2113-2124, March 2012. (PDF) (Source)

15.

Muhammad Abulaish, Jahiruddin and Lipika Dey, Deep Text Mining for Automatic Keyphrase Extraction from Text Documents, Journal of Intelligent Systems, vol. 20, no. 4, De Gruyter, Germany, pp. 327-352, 2011. (PDF) (Source)

16.

Jahiruddin, Muhammad Abulaish and Lipika Dey, A Concept-Driven Biomedical Knowledge Extraction and Visualization Framework for Conceptualization of Text Corpora, Journal of Biomedical Informatics, vol. 43, no. 6, Elsevier, pp. 1020-1035, 2010. (PDF) (Source)

17.

Muhammad Abulaish, An Ontology Enhancement Framework to Accommodate Imprecise Concepts and Relations, Journal of Emerging Technologies in Web Intelligence, vol. 1, no. 1, Academy Publisher, Finland, ISSN: 1798-0461, pp. 22-36, 2009. (PDF) (Source)

18.

Muhammad Abulaish and Lipika Dey, Biological Relation Extraction and Query Answering from Medline Abstracts using Ontology-based Text Mining, Data and Knowledge Engineering, vol. 61, no. 2, Elsevier, pp. 228-262, 2007. (PDF) (Source)

19.

Muhammad Abulaish and Lipika Dey, Information Extraction and Imprecise Query Answering from Web Documents, Web Intelligence and Agent Systems – An International Journal, vol. 4, no. 4, IOS Press, Netherland, pp. 407-429, 2006. (PDF) (Source)

20.

Muhammad Abulaish and Lipika Dey, Intelligent Query Processing Using Semantic Web and Ontology, Journal of Computer Society of India, vol. 34, no. 2, pp. 32-41, 2004. (PDF) (Source)

Book Chapters


21.

Sajid Yousuf Bhat, and Muhammad Abulaish, A Unified Framework for Community Structure Analysis in Dynamic Social Networks, Hema Banati, Siddhartha Bhattacharyya, Ashish Mani, and Mario Koppen (Eds.) Hybrid Intelligence for Social Networks, Springer, pp. 1-21, 2017. (accepted and to appear) (URL) (PDF) (BibTex)

22.

Ahmad Kamal, Muhammad Abulaish, and Jahiruddin, OntoLSA - An Integrated Text Mining System for Ontology Learning and Sentiment Analysis, Witold Pedrycz and Shyi-Ming Chen (Eds.) Sentiment Analysis and Ontology Engineering, Studies in Computational Intelligence 639, Springer, ISBN: 978-3-319-30317-8, pp. 399-423, 2016. (URL) (PDF) (BibTex)

23.

Muhammad Abulaish and Sajid Y. Bhat, A Density-Based Approach to Detect Community Evolutionary Events in Online Social Networks, F. Can et al. (Eds.), State of the Art Applications of Social Network Analysis, Lecture Notes in Social Networks, Springer, ISBN: 978-3-319-05911-2, pp. 189-208, 2014. (Extended version of the paper presented at ASONAM'12) (PDF) (Source)

24.

Tarique Anwar and Muhammad Abulaish, Modeling a Web Forum Ecosystem into an Enriched Social Graph, Martin Atzmueller, Alvin Chin, Denis Helic, and Andreas Hotho (Eds.), Ubiquitous Social Media Analysis, LNCS Vol. 8329, ISBN: 978-3-642-45391, Springer, pp. 152-152, 2013. (Extended version of the paper presented at MSM'12) (PDF) (Source)

25.

Muhammad Abulaish and Jahiruddin, Web-Content Mining for Learning Generic Relations and their Associations from Textual Biological Data, Biological Knowledge Discovery Handbook: Preprocessing, Mining and Post-Processing of Biological Data, Mourad Elloumi and Albert Y. Zomaya (Eds.), John Wiley & Sons Inc., New Jersey, ISBN: 9781118132739, pp. 919-942, 2013. (PDF) (Source)

26.

Muhammad Abulaish, Jahiruddin and Lipika Dey, Mining Biological Interactions from Biomedical Texts for Efficient Query Answering, Jake Y. Chen & Stefano Lonardi (Eds.), Biological Data Mining,  Chapman & Hall/CRC Data Mining and Knowledge Discovery Series, Taylor and Francis Group Publisher, ISBN: 9781420086843, pp. 485-527, 2009. (PDF) (Source)

27.

Lipika Dey and Muhammad Abulaish, A Fuzzy Ontology-Based Text Mining System for Knowledge Acquisition, Ontology Enhancement and Query Answering from Bio-Medical Texts, Computational Intelligence in Bioinformatics, Gary B. Fogel, David W. Corne and Yi Pan (Eds.), IEEE Press Series on Computational Intelligence, Wiley/ IEEE Inc., ISBN-9780470105269, pp. 297-339, 2008. (PDF) (Source)

28.

Lipika Dey and Muhammad Abulaish, Ontology Enhancement for Including Newly Acquired Knowledge about Concept Descriptions and Answering Imprecise Queries, Web Semantics and Ontology, David Taniar and Johanna W. Rahayu (Eds.), IGI Global, USA, ISBN: 9781591409052, pp. 189-225, 2005. (PDF) (Source)

Conference Proceedings [ACM]


29.

Ramzan Ali Bahrami, Jayati Gulati, and Muhammad Abulaish, Efficient Processing of SPARQL Queries Over GraphFrames, In Proceedings of the IEEE/WIC/ACM International Conference on Web Intelligence (WI), Lepzig, Germany, pp. 1-8, August 23-26, 2017. (accepted and to appear) (URL) (PDF) (BibTex)

30.

Mohd. Fazil, and Muhammad Abulaish, Identifying Active, Reactive, and Inactive Targets of Socialbots in Twitter, In Proceedings of the IEEE/WIC/ACM International Conference on Web Intelligence (WI), Lepzig, Germany, pp. 1-8, August 23-26, 2017. (accepted and to appear) (URL) (PDF) (BibTex)

31.

Mudassir Wani, Majid A. Alrubaian, and Muhammad Abulaish, A User-Centric Feature Identification and Modeling Approach to Infer Social Ties in OSNs In Proceedings of the 15th International Conference on Information Integration and Web-based Applications & Services (iiWAS’13), Vienna, Austria, pp. 107-114, Dec. 2-4, 2013. (PDF) (Source)

32.

Tarique Anwar and Muhammad Abulaish, Mining an Enriched Social Graph to Model Cross-Thread Community Interactions and Interests, In Proceedings of the 3rd International Workshop on Modeling Social Media (MSM'12): Collective Intelligence in Social Media - Co-located with the 23rd ACM Conference on Hypertext and Social Media, Milwaukee, WI, USA, ACM, pp. 35-38, June 25-28, 2012. (PDF) (Source)

33.

Sajid Y. Bhat and Muhammad Abulaish, A Density-Based Approach for Mining Overlapping Communities from Social Network Interactions, In Proceedings of the 2nd International Conference on Web Intelligence, Mining and Semantics (WIMS'12), Craiova, Romania, ACM, pp. 9:1-9:7, June 13-15, 2012. (PDF) (Source)

34.

Ahmad Kamal, Muhammad Abulaish and Tarique Anwar, Mining Feature-Opinion Pairs and their Reliability Scores from Web Opinion Sources, In Proceedings of the 2nd International Conference on Web Intelligence, Mining and Semantics (WIMS'12), Craiova, Romania, ACM, pp. 15:1-15:7, June 13-15, 2012. (PDF) (Source)

35.

Muhammad Abulaish, and Tarique Anwar, A Web Content Mining Approach for Tag Cloud Generation, In Proceedings of the 13th International Conference on Information Integration and Web-based Applications & Services (iiWAS’11), Vietnam, pp. 52-59, December 5-7, 2011. (PDF) (Source)

Conference Proceedings [Springer: LNCS, LNAI, etc.]


36.

Faraz Ahmad and Muhammad Abulaish, Identification of Sybil Communities Generating Context-Aware Spam on Online Social Networks, In Proceedings of the 15th Asia-Pacific Web Conference (APWeb'13), Sydney, Australia, pp. 268-279, April 4-6, 2013. (PDF) (Source)

37.

Muhammad Yasin, Muhammad Abulaish and Muhammad N. N. Elmogy, Forensic Analysis of Digsby Log Data to Trace Suspected User Activities, In Proceedings of the 9th FTRA International Conference on Secure and Trust Computing, Data Management, and Applications (STA'12), Gwangju, Korea, LNEE 180, Springer, pp. 119-126, September 6-8, 2012. (PDF) (Source)

38.

Nur Al-H. Haldar, Muhammad Abulaish and Syed A. Pasha, A Statistical Pattern Mining Approach for Identifying Wireless Network Intruders, In Proceedings of the 5th International Conference on Network Security and Applications (CNSA'12), Chennai, India, Advances in Intelligent Systems and Computing, Volume 176,  Springer, pp. 131-140, July 13-15, 2012. (PDF) (Source)

39.

Faraz  Ahmed, Muhammad Z. Rafique and Muhammad Abulaish, A Data Mining Framework for Securing 3G Core Network from GTP Fuzzing Attacks, In Proceedings of the 7th International Conference on Information Systems Security (ICISS’11), Kolkata, India, pp. 280-293, Dec. 15-19, 2011. (PDF) (Source)

40.

Muhammad Abulaish, Syed I. Nabi, Khaled S. Alghathbar and Azeddine Chikh, SIMOnt: A Security Information Management Ontology, In Proceedings of the 8th IEEE/FTRA International Conference on Secure and Trust Computing, Data Management, and Applications (STA’11), pp. 201-208, 2011. (PDF) (Source)

41.

Azeddine Chikh, Muhammad Abulaish, Syed I. Nabi and Khaled S. Alghathbar, An Ontology Based Information Security Requirements Engineering Framework, In Proceedings of the 8th IEEE/FTRA International Conference on Secure and Trust Computing, Data Management, and Applications (STA’11), pp. 139-146, 2011. (PDF) (Source)

42.

Muhammad Abulaish, Tanvir Ahmad, Jahiruddin and Mohammed N. Doja, Opinion-Based Imprecise Query Answering, In Proceedings of the 14th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD'10), Hyderabad, India, LNAI-6119, Part-II, Springer-Verlag, pp. 238-248, June 21-24, 2010. (PDF) (Source)

43.

Muhammad Abulaish, Jahiruddin and Lipika Dey, A Relation Mining and Visualization Framework for Automated Text Summarization, In Proceedings of the 3rd International Conference on Pattern Recognition and Machine Intelligence (PReMI’09), Delhi, India, LNCS-5909, Springer-Verlag, pp. 249-254, Dec. 16-20, 2009. (PDF) (Source)

44.

Muhammad Abulaish, Tanvir Ahmad, Jahiruddin and Mohammed N. Doja, Feature and Opinion Mining for Customer Review Summarization, In Proceedings of the 3rd International Conference on Pattern Recognition and Machine Intelligence (PReMI’09), Delhi, India, LNCS-5909, Springer-Verlag, pp. 219-224, Dec. 16-20, 2009. (PDF) (Source)

45.

Fokrul A. Mazarbhuiya, Muhammad Abulaish, Anjana K. Mahanta, and Tanvir Ahmad, Mining Local Association Rules from Temporal Data Set, In Proceedings of the 3rd International Conference on Pattern Recognition and Machine Intelligence (PReMI’09), Delhi, India, LNCS-5909, Springer-Verlag, pp. 255-260, December 16-20, 2009. (PDF) (Source)

46.

Lipika Dey, Muhammad Abulaish, Rohit Goyel and Jahiruddin, Semantic Integration of Information through Relation Mining – Application to Bio-Medical Text Processing, In Proceedings of the 2nd International Conference on Pattern Recognition and Machine Intelligence (PReMI'07), ISI Kolkata, India, LNCS, Springer-Verlag, pp. 365-372, Dec. 18-22, 2007. (PDF) (Source)

47.

Muhammad Abulaish and Lipika Dey, A Fuzzy Ontology Generation Framework for Handling Uncertainties and Non-uniformity in Domain Knowledge Description, In Proceedings of the International Conference on Computing: Theory and Applications (ICCTA'07), ISI Kolkata, India, pp. 287-293, 2007. (PDF) (Source)

48.

Lipika Dey, Muhammad Abulaish, Rohit Goyal and Kumar Shubham, A Rough-Fuzzy Ontology Generation Framework and Its Application to Bio-medical Text Processing, In Proceedings of the 5th Atlantic Web Intelligence Conference (AWIC'07), Fontainebleau, France, Advances in Intelligent Web Mastering (Advances in Soft Computing Series, Volume 43), Springer Berlin/Heidelberg, pp. 74–79, June 25-27, 2007. (PDF) (Source)

49.

Lipika Dey and Muhammad Abulaish, Enhancing a Biological Concept Ontology to Fuzzy Relational Ontology with Relations Mined from Text, In Proceedings of the 5th International Conference on Rough Sets and Current Trends in Computing (RSCTC'06), Japan, LNCS-4259, Springer-Verlag, pp. 527-536, 2006. (PDF) (Source)

50.

Muhammad Abulaish and Lipika Dey, An Ontology-based Pattern Mining System for Extracting Information from Biological Texts, In Proceedings of the 10th International Conference on Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing (RSFDGrC'05), Canada, LNCS-3642, Springer-Verlag, pp. 420-429, 2005. (PDF) (Source)

51.

Muhammad Abulaish and Lipika Dey, Knowledge Enhancement through Ontology-Gided Text Mining, In Proceedings of the 1st International Conference on Pattern Recognition and Machine Intelligence (PReMI'05), Kolkata, India, LNCS-3776, Springer-Verlag, pp. 601-604, 2005. (PDF) (Source)

52.

Shailendra Singh, Lipika Dey and Muhammad Abulaish, A Framework for Extending Fuzzy Description Logic to Ontology Based Document Processing, In Proceedings of the Advances in Web Intelligence: 2nd International Atlantic Web Intelligence Conference (AWIC'04), Cancun, Mexico, LNCS-3034, Springer-Verlag, pp. 95–104, 2004. (PDF) (Source)

Conference Proceedings [IEEE]


53.

Mohd Fazil and Muhammad Abulaish, Why a Socialbot is Effective in Twitter? A Statistical Insight, In Proceedings of the 9th International Conference on Communication Systems and Networks (COMSNETS), Social Networking Workshop, Bengaluru, India, pp. 562-567, January 4-8, 2017. (URL) (PDF) (BibTex) (received best paper award)

54.

Nausheen Azam, Jahiruddin, Muhammad Abulaish, and Nur Al-Hasan Haldar, Twitter Data Mining for Events Classification and Analysis, In Proceedings of the 2nd International Conference on Soft Computing and Machine Intelligence (ISCMI’15), Hong Kong, IEEE CPS, Nov. 23-24, 2015 (to appear). (URL) (PDF) (BibTex)

55.

Waleed Halboob, Ramlan Mahmod, Muhammad Abulaish, Haider Abbas and Kashif Saleem, Data Warehousing Based Computer Forensics Investigation Framework, In Proceedings of the 12th International Conference on Information Technology - New Generations (ITNG), Las Vegas, NV, USA , pp. 163-168, April 13-15, 2015. (URL) (PDF) (BibTex)

56.

Sajid Y. Bhat, Muhammad Abulaish, and Abdulrahman A. Mirza, Spammer Classification using Ensemble Methods over Structural Social Network Features, In Proceedings of the 14th IEEE/WIC/ACM International Conference on Web Intelligence (WI’14), Warsaw, Poland, pp. 454-458, Aug. 11-14, 2014. (PDF) (Source)

57.

Sajid Y. Bhat and Muhammad Abulaish, Community-Based Features for Identifying Spammers in Online Social Networks, In Proceedings of the IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM'13), Niagara Falls, Canada, ACM, pp. 100-107, Aug. 25-28, 2013. (PDF) (Source)

58.

Ahmad Kamal and Muhammad Abulaish, Statistical Features Identification for Sentiment Analysis using Machine Learning Techniques, In Proceedings of the International Symposium on Computational and Business Intelligence (ISCBI'13), IEEE, pp. 178-181, Aug. 24-26, 2013. (PDF) (Source)

59.

Sajid Y. Bhat and Muhammad Abulaish, Overlapping Social Network Communities and Viral Marketing, In Proceedings of the International Symposium on Computational and Business Intelligence (ISCBI'13), Delhi, India, IEEE, pp. 243-346, Aug. 24-26, 2013. (PDF) (Source)

60.

Tarique Anwar and Muhammad Abulaish, An MCL-Based Text Mining Approach for Namesake Disambiguation on the Web, In Proceedings of the IEEE/WIC/ACM International Conference on Web Intelligence (WI'12), Macau, pp. 40-44, Dec. 4-7, 2012.  (PDF) (Source)

61.

Muhammad Z. Rafique and Muhammad Abulaish, Graph-Based Learning Model for Detection of SMS Spam on Smart Phones, In Proceedings of the 8th International Wireless Communications and Mobile Computing Conference (IWCMC'12)Trust, Privacy and Security Symposium, Limasol, Cyprus, IEEE Computer Society, pp. 1046-1051, August 27-31, 2012. (PDF) (Source)

62.

Sajid Y. Bhat and Muhammad Abulaish, OCTracker: A Density-Based Framework for Tracking the Evolution of Overlapping Communities in OSNs, In Proceedings of the IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM'12), Istanbul, Turkey, August 26-29, 2012. (PDF) (Source)

63.

Faraz Ahmad and Muhammad Abulaish, An MCL-Based Approach for Spam Profile Detection in Online Social Networks, In Proceedings of the 11th IEEE International Conference on Trust, Security and Privacy in Computing and Communications (IEEE-TrustCom), Liverpool, UK, IEEE Computer Society, pp. 602-608, June 25-27, 2012. (PDF) (Source)

64.

Tarique Anwar and Muhammad Abulaish, Identifying Cliques in Dark Web Forums – An Agglomerative Clustering Approach, In Proceedings of the 10th International Conference on Intelligence and Security Informatics (IEEE ISI'12), Washington DC, USA, IEEE Computer Society, pp. 171-174, June 11-14, 2012. (PDF) (Source)

65.

Nur Al-H. Haldar, Muhammad Abulaish and Syed A. Pasha, An Activity Pattern Based Wireless Intrusion Detection System, In Proceedings of the 9th International Conference on Information Technology: New Generations (ITNG'12), Las Vegas, Nevada, USA, IEEE Computer Society, pp. 846-847, April 16-18, 2012. (PDF) (Source)

66.

Waleed Halboob, Muhammad Abulaish and Khaled S. Alghathbar, Quaternary Privacy-Levels Preservation in Computer Forensics Investigation Process, In Proceedings of the 6th International Conference for Internet Technology and Secured Transactions (ICITST’11), Abu Dhabi, UAE, pp. 777-782, December 11-14, 2011. (PDF) (Source)

67.

Tarique Anwar, Muhammad Abulaish and Khaled S. Alghathbar, Web Content Mining for Alias Identification: A first step towards suspect tracking, In Proceedings of the IEEE International Conference on Intelligence and Security Informatics (ISI’11), Bejing, China, pp. 195-197, 2011. (PDF) (Source)

68.

Muhammad Z. Rafique and Muhammad Abulaish, xMiner: Nip the Zero Day Exploits in the Bud, In Proceedings of the 10th IEEE International Symposium on Network Computing and Applications (IEEE NCA’11), Cambridge, MA, USA, pp. 99-106, 2011. (PDF) (Source)

69.

Muhammad Abulaish, Relation Characterization using Ontological Concepts, In Proceedings of the 8th International Conference on Information Technology: New Generations (ITNG’11), Las Vegas, Nevada, USA, April 11-13, pp. 585-590, 2011. (PDF) (Source)

70.

Lipika Dey and Muhammad Abulaish, Fuzzy Ontologies for Handling Uncertainties and Inconsistencies in Domain Knowledge Description, In Proceedings of the IEEE International Conference on Fuzzy Systems (FUZZ-IEEE’08), the 2008 IEEE World Congress on Computational Intelligence, Hong-Kong, China, pp. 1366-1373, June 1-6, 2008. (PDF) (Source)

71.

Lipika Dey, Muhammad Abulaish, Gaurav Sharma and Jahiruddin, Text Mining through Entity-Relationship Based Information Extraction, In Proceedings of the Workshop on Biomedical Applications of Web Technologies, Co-located with IEEE/WIC/ACM International Conference on Web Intelligence (WI'07), Silicon Valley, USA, pp. 177-180, Nov. 2-5, 2007. (PDF) (Source)

72.

Muhammad T. Afzal and Muhammad Abulaish, Ontological Representation for Links into the Future, In Proceedings of the International Conference on Convergence Information Technology (ICCIT'07), Korea, pp. 1832-1837, 2007. (PDF) (Source)

73.

Muhammad Abulaish and Lipika Dey, Interoperability among Distributed Overlapping Ontologies – A Fuzzy Ontology Framework, In Proceedings of the IEEE/WIC/ACM International Conference on Web Intelligence (WI'06), Hong Kong, pp. 397-403, 2006. (PDF) (Source)

74.

Muhammad Abulaish and Lipika Dey, Biological Ontology Enhancement with Fuzzy Relations: A Text-Mining Framework, In Proceedings of the IEEE/WIC/ACM International Conference on Web Intelligence (WI'05), France, pp. 379-385, 2005. (PDF) (Source)

Conference Proceedings [Others with ISBN]


75.

Muhammad Abulaish, Jahiruddin and Lipika Dey, A Statistical Approach for Automatic Keyphrase Extraction, In Proceedings of the 5th Indian International Conference on Artificial Intelligence (IICAI’11), Bangalore, India, December 14-16, 2011. (PDF) (Source)

76.

Muhammad Abulaish and Khaled S. Alghathbar, Automated Summarization and Visualization of Unstructured Text Documents, In Proceedings of the International Conference on IT and Business Intelligence (ITBI'10), Nagpur, India, November 12-14, 2010. (PDF) (Source)

77.

Muhammad Abulaish and Qadri N. Naved, Knowledge-Based Information Extraction, In Proceedings of the 5th Saudi Technical Conference and Exhibition, Riyadh, KSA, Vol. II, pp. 181-187, Jan. 11-14, 2009. (PDF) (Source)

78.

Lipika Dey, Muhammad Abulaish and Jahiruddin, Relation Extraction from Texts for Efficient Access to Information – Application to Bio-Medical Text Processing, In Proceedings of the 3rd Indian International Conference on Artificial Intelligence (IICAI'07), Pune, India, pp. 1719-1737, 2007. (PDF) (Source)

79.

Muhammad Abulaish and Lipika Dey, Using Part-of-Speech Patterns and Domain Ontology to Mine Imprecise Concepts from Text Documents, In Proceedings of the 6th International Conference on Information Integration and Web Based Applications and Services (iiWAS’04), Jakarta, Indonesia, pp. 91-100, 2004. (PDF) (Source)

80.

Muhammad Abulaish and Lipika Dey, Ontology Based Fuzzy Deductive System to Handle Imprecise Knowledge, In Proceedings of the 4th International Conference on Intelligent Technologies (InTech’03), Chiang Mai, Thailand, pp. 271-278, 2003. (PDF) (Source)

Books/Tools/Datasets

  • BiSAL: A Bilingual Sentiment Analysis Lexicon to Analyze Dark Web Forums for Cyber Security (dataset)

  • Ontology Engineering for Imprecise Knowledge Management, LAMBERT Academic Publishing, Germany, ISBN: 978-3-8383-0612-4, No. of Pages: 224, 2009. (PDF) (Source)

  • Exploring Database Systems: a systematic approach to develop database design, implementation and querying skills (to appear).

Recent Activities

  • Delivered an Invited Talk on "Amalgamation of Textual and Structural Data for Deeper Insight – A Graph-Theoretic Approach for Social Media Data Analytics" at the International Symposium on Computational Mathematics, Optimization, and Computational Intelligence organized by IIT Indore, MP, India under NTU-INDIA connect program during, July 17-19, 2017.

  • Delivered an Invited Talk on "Fusing Content and Structural Information for a Deeper Insight" at the Department of Computer Science, University of Delhi, New Delhi, India on March 17, 2017.

  • Delivered an Invited Talk on "Ranking Social Media Users using Structural and Textual Features" at the National Seminar on Cloud Computing and its Applications organized by School of Engineering Sciences and Technology, Jamia Hamdard, New Delhi, India during March 9-10, 2017.