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Issue No. 04 - July/August (2003 vol. 15)
ISSN: 1041-4347
pp: 1050-1053
<p><b>Abstract</b>—Caching is a well-known strategy for improving the performance of Web-based systems. The heart of a caching system is its page replacement policy, which selects the pages to be replaced in a cache when a request arrives. In this paper, we present a Web-log mining method for caching Web objects and use this algorithm to enhance the performance of Web caching systems. In our approach, we develop an n-gram-based prediction algorithm that can predict future Web requests. The prediction model is then used to extend the well-known GDSF caching policy. We empirically show that the system performance is improved using the predictive-caching approach.</p>
Web log mining, Web caching, prediction models, classification.

Q. Yang and H. H. Zhang, "Web-Log Mining for Predictive Web Caching," in IEEE Transactions on Knowledge & Data Engineering, vol. 15, no. , pp. 1050-1053, 2003.
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