Open AccessImproving the Performance of an Information Retrieval System through WEB Mining
Author(s) -
V Sathiyamoorthi
Publication year - 2016
Publication title -
information technologies and control
Language(s) - English
Resource type - Journals
eISSN - 2367-5357
pISSN - 1312-2622
DOI - 10.1515/itc-2017-0004
Subject(s) - computer science , world wide web , web navigation , web mining , the internet , web traffic , web analytics , web intelligence , web development , data web , web modeling , cluster analysis , web application security , web page , machine learning
It is generally observed throughout the world that in the last two decades, while the average speed of computers has almost doubled in a span of around eighteen months, the average speed of the network has doubled merely in a span of just eight months!. In order to improve the performance, more and more researchers are focusing their research in the field of computers and its related technologies. World Wide Web (WWW) acts as a medium for sharing of information. As a result, millions of applications run on the Internet and cause increased network traffic and put a great demand on the available network infrastructure. The slow retrieval of Web pages may reduce the user interest from accessing them. To deal with this problem Web caching and Web pre-fetching are used. This paper focuses on a methodology for improving the proxy-based Web caching system using Web mining. It integrates Web caching and Pre-fetching through an efficient clustering based pre-fetching technique.