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Pre-fetching web pages through data mining based prediction

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

Authors

W. Zhang

B. Xu

W. Song

H. Yang



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.
Publisher URL http://www.cisp-publishing.com/jass.html

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