Performance comparison of pattern discovery methods on web log data

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Date

2006-03-11

Author

Bayir, Murat Ali
Toroslu, İsmail Hakkı
Coşar, Ahmet

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This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

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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.

Subject Keywords

Data mining, Web mining, Web pages, Web server, Intelligent systems, Navigation, Uniform resource locators, Data engineering, Computer science, Web sites

URI

https://hdl.handle.net/11511/31738

DOI

https://doi.org/10.1109/aiccsa.2006.205129

Conference Name

4th IEEE/ACS International Conference on Computer Systems and Applications (AICCSA-06)

Collections

Graduate School of Natural and Applied Sciences, Conference / Seminar

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Citation Formats

M. A. Bayir, İ. H. Toroslu, and A. Coşar, “Performance comparison of pattern discovery methods on web log data,” presented at the 4th IEEE/ACS International Conference on Computer Systems and Applications (AICCSA-06), Sharjah, U ARAB EMIRATES, 2006, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/31738.