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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Escobar-Jeria, V.H., Martín-Bautista, M.J., Sánchez, D., Vila, MA. (2007). Web Usage Mining Via Fuzzy Logic Techniques. In: Melin, P., Castillo, O., Aguilar, L.T., Kacprzyk, J., Pedrycz, W. (eds) Foundations of Fuzzy Logic and Soft Computing. IFSA 2007. Lecture Notes in Computer Science(), vol 4529. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-72950-1_25
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DOI: https://doi.org/10.1007/978-3-540-72950-1_25
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