ACM SIGKDD Explorations Newsletter
A vector space model for automatic indexing
Communications of the ACM
Web usage mining: discovery and applications of usage patterns from Web data
ACM SIGKDD Explorations Newsletter
Web usage mining: discovery and application of interesting patterns from web data
Web usage mining: discovery and application of interesting patterns from web data
Discovering Knowledge in Data: An Introduction to Data Mining
Discovering Knowledge in Data: An Introduction to Data Mining
Adaptive Web Sites: A Knowledge Extraction from Web Data Approach - Volume 170 Frontiers in Artificial Intelligence and Applications
Web intelligence and communities
Proceedings of the 4th International Workshop on Web Intelligence & Communities
Desiderata for research in web intelligence, mining and semantics
Proceedings of the 2nd International Conference on Web Intelligence, Mining and Semantics
Research topics on web intelligence and communities
Web Intelligence and Agent Systems - Web Intelligence and Communities
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Web data or data originated on the Web contain information and knowledge which allows to improve web site efficiency and effectiveness to attract and retain visitors. However, web data have many irrelevant data inside. Consequently, it is necessary to preprocess them to model and understand the web user browsing behavior inside them. Further, due to frequent changes in the visitor's behavior, as well as in the web site itself, the discovered knowledge may become obsolete in a short period of time. In this paper, we introduce a platform which extracts, preprocesses and stores web data to enabling the utilization of web mining techniques. In other words, there is an Information Repository (IR) which stores preprocessed web data and it facilitates the patterns extraction. Likewise, there is a Knowledge Base (KB) for storing the discovered patterns which have been validated by a domain expert. The proposed structure was tested using a real web site to prove the effectiveness of our approach.