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

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 users web using pattern are get stored in web log repository which are great source of knowledge about users navigation. With increasing the use of internet number of web sites and web pages are increasing rapidly. So analyze and discovering users 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 users 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.