文章基本信息

标题：A Survey on Web Usage Mining Techniques for Clustering and Online Navigation Prediction
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作者：Kapil Kundra ; Usvir Kaur ; Dr. Dheerendra Singh 等
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：2014
卷号：5
期号：3
页码：194-199
语种：English
出版社：Ayushmaan Technologies
摘要：Due to the growing factor of World Wide Web, today most of companies and private sectors adopt the online business propagandas to spreading their businesses worldwide. In this era of time, we are dealing with huge amount of databases at all around the world, which every milliseconds saving the data on servers like online transactions and many of another online activities that users frequently accessed via the websites, software’s etc. We need some type of advanced techniques that retrieve and capture the information very accurately from web log data and one of the most famous technique for this work is Web Usage Mining, which analyze the web data very accurately to retrieve the valuable information, which stored on servers. In this area of research we are using many techniques,like clustering, online navigation prediction to analyze the web server log data and there are lots of algorithms are available to increase the efficiency of these techniques. So in this paper we review all those algorithms which are using for web data analysis and at the end we describes the best algorithms for Web Usage Mining Process, which are better than the another available algorithms.
关键词：Data Clustering;Pre-Processing;Online Navigation Prediction; Data Mining;Web Mining