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Web Usage Mining Via Fuzzy Logic Techniques

  • Víctor H. Escobar-Jeria
  • María J. Martín-Bautista
  • Daniel Sánchez
  • María-Amparo Vila
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4529)

Abstract

With the increment of users and information on the Web, mining processes inspired in the traditional data mining ones have been developed. This new recent area of investigation is called Web Mining. Within this area, we study the analysis of web log files in what is called Web Usage Mining. Different techniques of mining to discover usage patterns from web data can be applied in Web Usage Mining. We will also study in a more detailed way applications of Fuzzy Logic in this area. Specially, we apply fuzzy association rules to web log files, and we give initial traces about the application of Fuzzy Logic to personalization and user profile construction.

Keywords

Web Usage Mining Fuzzy Logic Fuzzy Association Rules Personalization User Profiles 

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Copyright information

© Springer Berlin Heidelberg 2007

Authors and Affiliations

  • Víctor H. Escobar-Jeria
    • 1
  • María J. Martín-Bautista
    • 2
  • Daniel Sánchez
    • 2
  • María-Amparo Vila
    • 2
  1. 1.Department of Informatics and Computer Science, Metropolitan Technological University of Santiago de ChileChile
  2. 2.Department of Computer Science and Artificial Intelligence, University of Granada, Periodista Daniel Saucedo Aranda s/n, 18071, GranadaSpain

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