Effective Web Usage Mining to Extract the Knowledge for Modelling the E-Commerce Website

World Wide Web became a bilateral medium for sharing the information. Web mining utilizes data mining techniques to extract the knowledge from web data. To extract the interesting pattern from server log record, Web Usage Mining is used. There are four stages carried out in this paper such as data collection, preprocessing, extraction and analysis. In this paper, three diverse algorithms used for clustering, association rule, and subgroup discovery mining methods. Eventually, analysis has been done based on the extraction of each algorithm. The results obtained will be considered for efficient modeling of the e-commerce website.