Abstract
mining is a hot research area of many researchers. Web mining techniques have been widely used to discover interesting and frequent user navigation patterns from the web server logs. The aim of this work is to apply web mining techniques for discovering user's behaviour and interest for an educational institution website usage to reveal previously unknown interesting patterns extracted in order to recommend possible measures for further improvement of the Website. In this paper the web user access and server usage patterns have been analyzed and daily, weekly, monthly web metrics such as number of visits, pages, files, hits and sites have been investigated. An attempt has been made to predict the behaviour and interest of the website users.
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