文章基本信息

标题：Association Rules Based Efficient Web Usage Mining
本地全文：下载
作者：Mohit Dubey ; Reetesh Rai
期刊名称：International Journal of Computer Science & Technology
印刷版ISSN：2229-4333
电子版ISSN：0976-8491
出版年度：2015
卷号：6
期号：3
页码：30-35
语种：English
出版社：Ayushmaan Technologies
摘要：Increasing growth of the Internet has made the thousands of the websites and web user around the world. Increase of web users and websites is also causing increase of huge data per second on the web. This increase is causing users difficult to find the relevant information from the web. Therefore we need to create algorithms for the easy and fast web mining tools for the users. Since it is majorly a responsibility of the website owners to track and provide relevant information to the users as per their usage history therefore web usage mining is particularly focus of this work. Web usage mining aims at discovering useful information or knowledge from usage data registered in log files, based on primary kinds of data used in the mining process. This paper uses a web usage mining technique to fetch knowledge from web server log files where all user navigation history is registered.
关键词：Web Mining;Web Usage Mining;Server Logs;Log Files; Association Rule Mining