Pre-fetching web pages through data mining based prediction

Zhang, W.; Xu, B.; Song, W.; Yang, H.

Abstract

The speed of fetching web pages to users is getting lower because the rapid expansion of Internet use, the inherited character of delay in the network and the Request/Response working mode of WWW, and this is becoming a serious concern for web surfers. In order to speed up fetching web pages, this paper presents an intelligent technique of web pre-fetching. We use a simplified WWW data model to represent the data in the cache of web browser to mine the association rules. We store these rules in a knowledge base so as to predict the user’s actions. Intelligent agents are responsible for mining the users’ interest and pre-fetching web pages, based on the interest association repository. In this way, browsing time has been reduced transparently.

Citation

Zhang, W., Xu, B., Song, W., & Yang, H. (2002). Pre-fetching web pages through data mining based prediction. Journal of applied systems studies, 3(2), 384-398

• Journal Article Type: Article
• Publication Date: 2002-05
• Deposit Date: Aug 9, 2006
• Journal: Journal of applied systems studies : methodologies and applications for systems approaches
• Print ISSN: 1466-7738
• Publisher: Cambridge International Science Publishing
• Peer Reviewed: Peer Reviewed
• Volume: 3
• Issue: 2
• Pages: 384-398
• Keywords: WWW, Internet, Data model, Cache.
• Public URL: https://durham-repository.worktribe.com/output/1592797
• Publisher URL: http://www.cisp-publishing.com/jass.html