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Title |
A Result Evolution Approach for Web usage mining using Fuzzy C-Mean Clustering Algorithm |
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Author |
Gajendra Singh Chandel, Kailash Patidar,.Man Singh Mali |
| Citation |
Vol. 16 No. 1 pp. 135-140 |
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Abstract |
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. |
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Keywords |
Web Usage Mining, Clustering, Web Server Log File |
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