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Web-log mining for predictive web caching
2003
IEEE Transactions on Knowledge and Data Engineering
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
doi:10.1109/tkde.2003.1209022
fatcat:7wexositrzfalkxa3hrnsobdlq