Abstract
The paper focuses the path of exploring an algorithm which involves mining frequently used user traversals pattern while using the World Wide Web by the user. As the web’s becoming more and more popular, web servers gather the large amount of data from the web in the form of web server logs. The web server log provides important information aiding to analysing the user surfing behavior and thus extract important information. Web Usage Mining analyses the Web access logs to find how the users surf a website so as to bring out interesting patterns which can be used for improving user profile, web site design, business and marketing decision support and web server system. Firstly, the server log is scanned and the maximal forward references are obtained for which effect of backward references is not considered and secondly, the maximal forward references obtained in the first step are used to finally obtain the large references which are frequently accessed patterns by the user.
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