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dc.contributor.authorNasraoui, Olfa
dc.contributor.authorKrishnapuram, Raghu
dc.contributor.authorJoshi, Anupam
dc.date.accessioned2019-02-06T16:57:52Z
dc.date.available2019-02-06T16:57:52Z
dc.date.issued1999-10-24
dc.description18th International Conference of the North American Fuzzy Information Processing Society - NAFIPS (Cat. No.99TH8397)en_US
dc.description.abstractMining 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 pairwise dissimilarities, we introduce the relational fuzzy c-maximal density estimator (RFC-MDE) algorithm. RFC-MDE is robust and can deal with outliers that are typical in this application. We show real examples of the use of RFC-MDE for extraction of user profiles from log data, and and compare its performance to the standard non-Euclidean fuzzy c-means.en_US
dc.description.sponsorshipThis work was partially supported by cooperative NSF awards (IIS 9801711 and IIS 9800899) to Joshi and Krishnapuram respectively, and an IBM faculty development award to A. Joshi.en_US
dc.description.urihttps://ieeexplore.ieee.org/document/781785en_US
dc.format.extent5 pagesen_US
dc.genreconference papers and proceedings preprintsen_US
dc.identifierdoi:10.13016/m2vo57-tumr
dc.identifier.citationOlfa Nasraoui, Raghu Krishnapuram, and Anupam Joshi, Relational Clustering Based on a New Robust Estimator with Application to Web Mining, 18th International Conference of the North American Fuzzy Information Processing Society - NAFIPS (Cat. No.99TH8397), 1999, DOI: 10.1109/NAFIPS.1999.781785en_US
dc.identifier.uri10.1109/NAFIPS.1999.781785
dc.identifier.urihttp://hdl.handle.net/11603/12720
dc.language.isoen_USen_US
dc.publisherIEEEen_US
dc.relation.isAvailableAtThe University of Maryland, Baltimore County (UMBC)
dc.relation.ispartofUMBC Computer Science and Electrical Engineering Department Collection
dc.relation.ispartofUMBC Faculty Collection
dc.rightsThis item is likely protected under Title 17 of the U.S. Copyright Law. Unless on a Creative Commons license, for uses protected by Copyright Law, contact the copyright holder or the author.
dc.rights© 1999 IEEE
dc.subjectweb miningen_US
dc.subjectuniform resource locatorsen_US
dc.subjectdata miningen_US
dc.subjectnoise robustnessen_US
dc.subjectpollution measurementen_US
dc.subjectdatabasesen_US
dc.subjectsearch enginesen_US
dc.subjectinformation resourcesen_US
dc.subjectpattern clusteringen_US
dc.subjectfuzzy set theoryen_US
dc.subjectrelational algebraen_US
dc.subjectdata loggersen_US
dc.subjectUMBC Ebiquity Research Groupen_US
dc.titleRelational Clustering Based on a New Robust Estimator with Application to Web Miningen_US
dc.typeTexten_US


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