Pre-Fetching Web Pages through Data Mining Based Prediction

摘要

The speed of fetching web pages to browsers is getting lower because of the rapid expansion 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.