Relational Clustering Based on a New Robust Estimator with Application to Web Mining

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Mining typical user profiles and URL associations from the vast amount of access logs is an important component of Web personalization. In this paper, we define the notion of a �user session� as being a temporally compact sequence of Web accesses by a user. We also define a dissimilarity measure between two Web sessions that captures the organization of a Web site. To cluster the user sessions based on the pair-wise dissimilarities, we introduce the Relational Fuzzy C-Maximal Density Estimator (RFC-MDE) algorithm. RF


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North American Fuzzy Info. Proc. Society (NAFIPS 99)

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