Identifying interesting visitors through web log classification

Publication Type:
Journal Article
IEEE Intelligent Systems, 2005, 20 (3), pp. 55 - 60
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The use of web log classification to identify the customer with a small data set is discussed. Web mining is a popular technique for analyzing visitor activities in e-service systems, which include, web text mining, web structure mining, and web log mining. Several groups of experiments on Dell Workstation PWS650 with 2 Gbytes of main memory running Window 2000 are conducted to evaluate the web log mining technique. The results show that when one classifies the 39,033 log records using the three classifiers, removing one attribute at a time, confirms that it's hard to determine which attribute to remove in order to achieve high accuracy.
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