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AICCSA
2006
IEEE

Performance Comparison of Pattern Discovery Methods on Web Log Data

9 years 1 months ago
Performance Comparison of Pattern Discovery Methods on Web Log Data
One of the popular trends in computer science has been development of intelligent web-based systems. Demand for such systems forces designers to make use of knowledge discovery techniques on web server logs. Web usage mining has become a major area of knowledge discovery on World Wide Web. Frequent pattern discovery is one of the main issues in web usage mining. These frequent patterns constitute the basic information source for intelligent web-based systems. In this paper; frequent pattern mining algorithms for web log data and their performance comparisons are examined. Our study is mainly focused on finding suitable pattern mining algorithms for web server logs.
Murat Ali Bayir, Ismail H. Toroslu, Ahmet Cosar
Added 10 Jun 2010
Updated 10 Jun 2010
Type Conference
Year 2006
Where AICCSA
Authors Murat Ali Bayir, Ismail H. Toroslu, Ahmet Cosar
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