Fuzzy based hybrid approach for user request prediction using Markov model

Web Usage Mining (WUM) is an important type of Web mining, which deals with extraction of interesting knowledge from the web log files. Web prediction is a classification problem in which we attempt to predict the next set of Web pages that a user may visit based on the knowledge of the previously visited pages or browsing history. It is very beneficial to predict user's behavior while he/she is serving the internet for many reasons like increasing browsing speed or minimization of server load etc. In this paper we have proposed fuzzy based hidden Markov model for predicting user's next process. Our proposal is modified version of all-Kth Markov model. This paper also reports the comparisons of various methods for future request prediction with their appropriate application. This complete work provide us the overview of user request prediction and also provide its possible solutions which will help in further research for new development in this area.