An Improved Markov Model Approach to Predict Web Page Caching

Optimization of Web page search and the web page access is always the major issue for a web user, because of this there is always some scope to improve the web page access based on user requirement. One of such approach is given by web page pre-fetching. The pre-fetching concept is about to avail the web page to user before the user demand. It means as the user is visiting some page the next page that he visit will be copied to the user cache. In this present work we are performing an intelligent web page prediction approach based on history of web page visit. The proposed approach is three level approach in which we have combined markov model along with association mining and clustered approach. As the next web page will be predicted it will perform the efficient web page access