A Fuzzy Markov Model Approach for Predicting User Navigation

User navigation is an interesting aspect in Web usage mining. Analysis of this issue can be of great benefit in discovering users´ behavior. This paper presents a fuzzy approach for predicting users´ navigation paths using the Markov chain model. A standard Markov model can be used to predict the ID of the next page. However, our proposed approach can predict not only users´ next requests for pages, but also the time-duration to be spent on the requests. The experimental results show that our method is highly accurate (average 77.9%) in session prediction. Even though the standard methods also perform well (average 78.9%), our proposed approach