Predictive Analysis of Users Behaviour in Web Browsing and Pattern Discovery Networks

Web-Page 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. To achieve this we depend on the web access log files which are recorded in the server. These web access log files can be mined to extract interesting pattern so that the user behavior can be understood. Predicting user’s behavior while serving the Internet can be applied effectively in various critical applications. Such application has traditional tradeoffs between modeling complexity and prediction accuracy. This paper presents an overview of web page prediction and also provides a survey of the Markov model used for predicting the next web page that is to be visited by the user.