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

Authors: Olfa Nasraoui, Raghu Krishnapuram, and Anupam Joshi

Date: October 24, 1999

Abstract: 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

Type: InProceedings

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

Google Scholar: 4o-_GipHOJkJ

Number of Google Scholar citations: 40 [show citations]

Number of downloads: 1556

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 Web/Data Mining and Personalization.

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