The web data or data originated on the Web contain information and knowledge which allows improving 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 modeling and understanding 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, preprocess and storage 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 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, which proved the effectiveness of...
L. Víctor Rebolledo, Juan D. Velásqu