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.
|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:||http://www.cisp-publishing.com/jass.html|
|Record Created:||09 Aug 2006|
|Last Modified:||18 Aug 2010 10:45|
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