Web Proxy caching system is an intermediary between the Web users and servers that try to alleviate the loads on the origin servers by caching particular Web objects and behaves as the proxy for the server and services the requests that are made to the servers. In this paper, the performance of a Proxy system is measured by the number of hits at the Proxy. Higher number of hits at the Proxy server reflects the effectiveness of the Proxy system. The number of hits is determined by the replacement policies chosen by the Proxy systems. Traditional replacement policies that are based on time and size are reactive and do not consider the events that will possibly happen in the future. The performance of the web proxy caching system is improved by adapting Data Mining Classifier model based on Web User clustering and Weighted Random Indexing Methods. The outcome of the paper are proactive strategies that augment the traditional replacement policies such as GDS, GDSF, GD^∗ which uses the Data Mining techniques.

Web代理缓存系统是Web用户和服务器之间的中介，它们试图通过缓存特定的Web对象来减轻原始服务器上的负载，并充当服务器的代理并为对服务器的请求提供服务。在本文中，代理服务器系统的性能由代理服务器上的匹配次数来衡量。代理服务器上的命中次数越高，反映了代理系统的有效性。命中数由代理系统选择的替换策略确定。基于时间和规模的传统替换策略是被动的，并且不考虑将来可能发生的事件。通过适应基于Web用户聚类和加权随机索引方法的数据挖掘分类器模型，可以提高Web代理缓存系统的性能。^*使用数据挖掘技术。