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IJSTR >> Volume 3- Issue 7, July 2014 Edition

International Journal of Scientific & Technology Research  
International Journal of Scientific & Technology Research

Website: http://www.ijstr.org

ISSN 2277-8616

A Systematic Review On Mining Web Navigation Pattern Using Graph Based Techniques

[Full Text]



Hemraj K. Varachhia, Ankur N. Shah



Index Terms: web log repository, filtered data, recommendation, web usage graph, Apriori & Eclat, TSPs, via-link



Abstract: Today internet is widely used in every aspect of day to day life. People get more and more dependent on internet for getting any kind of information. Record of different web user’s web using pattern are get stored in web log repository, which are great source of knowledge about user’s navigation. With increasing the use of internet, number of web sites and web pages are increasing rapidly. So analyze and discovering user’s interesting patterns are necessary for web administrator and recommendation system. Web usage mining is a part of data mining. In this, mining techniques are applied to web data for finding user’s interesting patterns. That means in which patterns user want to access web pages and web-sites. In this review paper I reviewed several pattern reorganization techniques such as graph traversal algorithm, efficient sequential pattern mining algorithm, mining a web usage data mining graph. From this entire techniques graph traversal algorithm is best.



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