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This paper presents a vertical application of web usage mining: efficient web caching for improving the response time , for the internet users ,specially due to increase in number of users of e-commerce on the internet Introducing efficient web caching algorithms that employ predictive models of web requests; the general idea is to extend the cache replacement policies of proxy servers by making it sensible to web access models extracted from web log data using web usage mining. The development of an efficient web caching architecture, capable of adapting its behaviour on the basis of the access patterns of the users/clients. Such usage patterns ,or models are extracted from the historical access data recorded in log files by means of data mining techniques known as web usage mining. The approach that has been studied in the present work is based on sequential patterns technique. In the present work a prototypical system has been designed and developed, which supports web usage mining and simulation of the web caching algorithm. The experimental results of the new algorithm developed for cache replacement technique show substantial improvement over LRU-based cache replacement technique, in terms of Hit Rate and Response Time.

EFFICIENT PROXY SERVER CACHING USING WEB USAGE MINING TECHNIQUE ON WEB LOGS - For Improving Hit Rate And Response Time