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Analysis of Log Files Applying Mining Techniques and Fuzzy Logic

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New Trends in Applied Artificial Intelligence (IEA/AIE 2007)

Abstract

With the explosive growth of data available on the Internet, a recent area of investigation called Web Mining has arise. In this paper, we will study general aspects of this area, principally the process of Web Usage Mining where log files are analyzed. These files register the activity of the user when interact with the Web. In the Web Usage Mining, different techniques of mining to discover usage patterns from web data can be applied. We will also study applications of Fuzzy Logic in this area. Specially, we analyze fuzzy techniques such as fuzzy association rules or fuzzy clustering, featuring their functionality and advantages when examining a data set of logs from a web server. Finally, we give initial traces about the application of Fuzzy Logic to personalization and user profile construction.

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Hiroshi G. Okuno Moonis Ali

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Escobar-Jeria, V.H., Martín-Bautista, M.J., Sánchez, D., Vila, MA. (2007). Analysis of Log Files Applying Mining Techniques and Fuzzy Logic. In: Okuno, H.G., Ali, M. (eds) New Trends in Applied Artificial Intelligence. IEA/AIE 2007. Lecture Notes in Computer Science(), vol 4570. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-73325-6_48

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  • DOI: https://doi.org/10.1007/978-3-540-73325-6_48

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-73322-5

  • Online ISBN: 978-3-540-73325-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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