Title :
Data mining algorithms for web pre-fetching
Author :
Zhang, Weifeng ; Xu, Baowen ; Song, William ; Yang, Hongji ; Liu, Kecheng
Author_Institution :
Dept. of Comput. Sci. & Eng., Southeast Univ., Nanjing, China
Abstract :
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
Keywords :
data mining; online front-ends; software agents; data mining; intelligent agents; intelligent technology; web browser; web pre-fetching; Association rules; Computer science; Data mining; Data models; IP networks; Information technology; Quality of service; Web and internet services; Web pages; World Wide Web;
Conference_Titel :
Web Information Systems Engineering, 2000. Proceedings of the First International Conference on
Conference_Location :
Hong Kong
Print_ISBN :
0-7695-0577-5
DOI :
10.1109/WISE.2000.882851
