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

Authors: Olfa Nasraoui, Raghu Krishnapuram, and Anupam Joshi

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

Date: October 24, 1999

Type: InProceedings

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

Google scholar: 4o-_GipHOJkJ

Google citations: 25 citations

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Bibtex

@InProceedings{Relational_Clustering_Based_on_a_New_Rob,
author = "Olfa Nasraoui and Raghu Krishnapuram and Anupam Joshi",
title = "{Relational Clustering Based on a New Robust Estimator with Application to Web Mining}",
month = "October",
year = "1999",
publisher = "North American Fuzzy Info. Proc. Society (NAFIPS 99)",
}