Data mining algorithms for web pre-fetching

To speed up fetching web pages, this paper gives an intelligent technology 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 user browsing time has been reduced transparently.