IEEE Spectrum
Intelligent Student Profiling with Fuzzy Models
HICSS '02 Proceedings of the 35th Annual Hawaii International Conference on System Sciences (HICSS'02)-Volume 3 - Volume 3
Java-Based Internet Biometric Authentication System
IEEE Transactions on Pattern Analysis and Machine Intelligence
User Navigational Behavior in e-Learning Virtual Environments
WI '05 Proceedings of the 2005 IEEE/WIC/ACM International Conference on Web Intelligence
Journal of the American Society for Information Science and Technology
From fingerprint to writeprint
Communications of the ACM - Supporting exploratory search
Crime Pattern Detection Using Data Mining
WI-IATW '06 Proceedings of the 2006 IEEE/WIC/ACM international conference on Web Intelligence and Intelligent Agent Technology
Mining communities and their relationships in blogs: A study of online hate groups
International Journal of Human-Computer Studies
Personalised online sales using web usage data mining
Computers in Industry
Uncovering the dark Web: A case study of Jihad on the Web
Journal of the American Society for Information Science and Technology
Applications of web mining for marketing of online bookstores
Expert Systems with Applications: An International Journal
Integrating web mining and neural network for personalized e-commerce automatic service
Expert Systems with Applications: An International Journal
Web user behavioral profiling for user identification
Decision Support Systems
Mining writeprints from anonymous e-mails for forensic investigation
Digital Investigation: The International Journal of Digital Forensics & Incident Response
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Our research theme is evolving around the concept of computer profiling. The aim of our work is to propose an approach that will detect web profiles in a unique way and to model a print web for each profile. Our main concern is to find this signature from text messages in the forums, by analyzing the vocabulary used by each user. Also we will focus here on presenting our approach and our future work in a way that will allow us to detect the "Specific Vocabulary" for each web profile.