An Efficient Algorithm for Frequent Pattern Mining using Web Analysis Approach
In this paper, a complete structure with new modified algorithm for mining and finding web usage patterns from a web application is presented. The web application can be a real web site that has all the challenging aspects of real-life web usage mining, including evolving user profiles and external data describing ontology of the web content. A name is given to each phase used in this framework i.e. data collection & preprocessing, pattern discovery and pattern analysis. In this paper, the authors are started by invoking pages of their application over internet, user may navigate from that to his/her intended destination.