TAILIEUCHUNG - An improved markov model approach to predict web page caching

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. | ISSN:2249-5789 Meenu Brala et al , International Journal of Computer Science & Communication Networks,Vol 2(3), 393-399 An Improved Markov Model Approach to Predict Web Page Caching Meenu Brala Student, JMIT, Radaur meenubrala@ Mrs. Mamta Dhanda Asstt. Prof, CSE, JMIT Radaur mamtanain@ Abstract 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. Keywords : Prediction, Markov, Association Mining, Prediction. Clustering, 1. Introduction The World Wide Web is a huge information repository. When so many users access this information repository, it is easy to find certain patterns in the way they access web resources. Web request prediction has been implemented in the past, primarily for static content. Increasing web content and Internet traffic is making web prediction models very popular[1]. The objective of a prediction model is to identify the subsequent requests of a user, given the current request that a user has made. This way the server can pre-fetch it and cache these pages or it can pre-send this information to the client. The idea is to control the load on the server and thus reduce the access time. Careful implementation of this technique can reduce access time and latency, making optimal usage of .

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