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Title |
Identifying User Behavior by Analyzing Web Server Access Log File |
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Author |
K. R. Suneetha, K. R. Krishnamoorthy |
| Citation |
Vol. 9 No. 4 pp. 327-332 |
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Abstract |
Web usage mining is application of data mining techniques to discover usage patterns from web data, in order to better serve the needs of web based applications. The user access log files present very significant information about a web server. This paper is concerned with the in-depth analysis of Web Log Data of NASA website to find information about a web site, top errors, potential visitors of the site etc. which help system administrator and Web designer to improve their system by determining occurred systems errors, corrupted and broken links. The obtained results of the study will be used in the further development of the web site in order to increase its effectiveness. |
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Keywords |
Web Usage Mining, Web Log Data, Common Log File Format, Data Preprocessing, Pattern Discovery |
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