Performance comparison of pattern discovery methods on web log data


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Bayir M. A. , TOROSLU İ. H. , COŞAR A.

4th IEEE/ACS International Conference on Computer Systems and Applications (AICCSA-06), Sharjah, United Arab Emirates, 8 - 11 March 2006, pp.445-446 identifier identifier

  • Publication Type: Conference Paper / Full Text
  • Doi Number: 10.1109/aiccsa.2006.205129
  • City: Sharjah
  • Country: United Arab Emirates
  • Page Numbers: pp.445-446

Abstract

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.