Clickstream Pattern Mining with Data Mining

A system is one of the best web usage mining Application which reduces the difficulties faced by the users to meet their requirements. Web usage mining is the process of obtaining useful knowledge from the server logs. In this work, we can predict the user’s navigational behavior and user next activities. We are using the bi-clustering approach with greedy search to overcome the problems of grouping available in traditional clustering approach. The practical implementation of this algorithm shows the more accurate prediction of user’s inspiration on web. An attempt has been made through this paper to provide a holistic view as to what clickstream data analysis is, how mining techniques are applied on such data to generate useful information and what kind of applications exploit it to get useful information. That is how the log mining can be apply in now a days. The knowledge gained by the analysis is applied to target marketing and in the designing of web portals.