文章基本信息

标题：A Result Evolution Approach for Web usage mining using Fuzzy C-Mean Clustering Algorithm
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作者：Gajendra Singh Chandel ; Kailash Patidar ; Man Singh Mali 等
期刊名称：International Journal of Computer Science and Network Security
印刷版ISSN：1738-7906
出版年度：2016
卷号：16
期号：1
页码：135-140
出版社：International Journal of Computer Science and Network Security
摘要：Web usage mining has become very critical for effective Web site management, business and support services, personalization, and network traffic flow analysis and so on. Web usage mining has become very critical for effective Web site management, creating adaptive Web sites, business and support services, personalization, and network traffic flow analysis and so on. Previous study on Web usage mining using a concurrent Clustering has shown that the usage trend analysis very much depends on the performance of the clustering of the number of requests. In this paper, a novel approach FCM Algorithm is introduced kind of Clustering Technique, in the process of Web Usage Mining to detect user��s patterns. The process details the transformations necessaries to modify the data storage in the Web Servers Log files to an input of FCM Algorithm. The Experiment show that the efficiency of FCM Algorithm is better than k-mean algorithm for web log data.
关键词：Web Usage Mining; Clustering; Web Server Log File