Bayesian classification (AutoClass): theory and results
Advances in knowledge discovery and data mining
Personalization on the Net using Web mining: introduction
Communications of the ACM
Web mining for web personalization
ACM Transactions on Internet Technology (TOIT)
An instant messenger system for learner analysis in e-learning environment
SIGITE '08 Proceedings of the 9th ACM SIGITE conference on Information technology education
A web usage mining algorithm for web personalization
Intelligent Decision Technologies
NEWER: A system for NEuro-fuzzy WEb Recommendation
Applied Soft Computing
KES'06 Proceedings of the 10th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part III
Introducing semantics in web personalization: the role of ontologies
EWMF'05/KDO'05 Proceedings of the 2005 joint international conference on Semantics, Web and Mining
Hi-index | 0.00 |
In the past few years, web usage mining techniques have grown rapidly together with the explosive growth of the web, both in the research and commercial areas. In this work we present a Web mining strategy for Web personalization based on a novel pattern recognition strategy which analyzes and classifies both static and dynamic features. The results of experiments on the data from a large commercial web site are presented to show the effectiveness of the proposed system.