We use cookies to ensure that we give you the best experience on our website. By continuing to browse this repository, you give consent for essential cookies to be used. You can read more about our Privacy and Cookie Policy.

Durham Research Online
You are in:

Pre-fetching web pages through data mining based prediction.

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


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.

Item Type:Article
Additional Information:Special issue: Web information system applications.
Keywords:WWW, Internet, Data model, Cache.
Full text:Full text not available from this repository.
Publisher Web site:
Record Created:09 Aug 2006
Last Modified:18 Aug 2010 10:45

Social bookmarking: del.icio.usConnoteaBibSonomyCiteULikeFacebookTwitterExport: EndNote, Zotero | BibTex
Look up in GoogleScholar | Find in a UK Library