An Efficient Mining Technique for Web Cache of Server Log Files
Journal: International Journal of Advances in Engineering & Technology (IJAET) (Vol.9, No. 6)Publication Date: 2016-12-01
Authors : K. Suguna; K. Nandhini;
Page : 634-639
Keywords : Data mining; Web caching; K-means; Web logs; B-CART;
Abstract
Data mining contemplates on non-trivial extraction of implicit previously unknown and useful information from the huge amount of data. Web mining is the one of the application of data mining which becomes a significant area of research due to huge amount of World Wide Web services in recent years. The World Wide Web is an interactive and popular way to transfer information. The prefetching approaches based on data mining techniques are popularly applied on caching problems. The data mining techniques classification and clustering are applied to find the interesting unknown data patterns in large data sets. This approach is used to analyze web access pattern of user by using information present in the proxy server log files. The frequently used web pages by the users are identified and integrated with the prefetching scheme. The web caching is used to achieve performance improvement for the cache proxy server. The most important problem of predicting a user's behavior on web sites is gained importance due to the rapid growth of the World Wide Web and the basic to personalize user's browsing history.
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