Abstract

 In a real world lot of users attracted towards online purchasing, so lots of transactions are going on in the websites. A weblog contains series of entries updated frequently by the user while accessing the website. A Weblog comprises of various entries like IP address, Status Code, number of bytes transferred and timestamp etc. Based on user interest related and unrelated data can be classified. The related data can be considered as success response, while the unrelated data can be considered as failure response. This research work aims to analyze the pattern of user navigation while browsing, for that web usage mining must be analyzed. The process of Web Usage Mining consisting steps: Data Collection, Pre-Processing, Pattern Discovery and Pattern Analysis to get user navigation pattern that will help us to predict the user behavior and it reduces the mining time.

Authors and Affiliations