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Title: A STUDY ON WEB PAGE PREDICTION METHODS USING WEB USAGE MINING

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Title:
A STUDY ON WEB PAGE PREDICTION METHODS USING WEB USAGE MINING
Author Name:
Alpa Sharma, Sarbjeet kaur
Abstract:
The web has become the worlds largest repository of knowledge. Web usage mining is the process of discovering knowledge from the interactions generated by the user in the form of access logs, cookies, user sessions data. There is an exponential growth of web log due to which conventional methods were proved to be inefficient. Web log is incremental and heterogeneous in nature, it becomes very crucial to predict the users browsing behavior. For the web miners it has become very necessary to use efficient predictive techniques so as to know the exact users browsing behavior. Moreover the web log is heterogeneous and non scalable. So there is a need to reduce the operation scope which in turn increases the accuracy precision significantly. Many researches has already been done in this context. The main aim of this paper is to give an overview of past and current evaluation in user’s future request prediction using web usage mining.
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