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Data analysis / Data mining / Geostatistics / Fuzzy clustering / K-means clustering / Unsupervised learning / HTTP cookie / Hierarchical clustering / Statistics / Machine learning / Cluster analysis


Mining Web Access Logs Using Relational Competitive Fuzzy Clustering Olfa Nasraoui, University of Missouri-Columbia, USA Hichem Frigui, University of Memphis, Memphis, USA
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Document Date: 2003-10-21 12:57:14


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File Size: 123,80 KB

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New York / Santiago / Anchorage / /

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IBM / Plenum Press / Computer Sciences / Seventh IEEE Intl / AAAI/MIT Press / /

Country

Switzerland / Chile / Columbia / /

Facility

University of Missouri-Columbia / University of Missouri / University of Memphis / University of Minnesota / University of Maryland / /

IndustryTerm

web-page navigation / web accesses / wide web transactions / c-means algorithms / web mining process / recommender systems / Web Access Logs / web sessions / web servers / web mining procedure / search engines / web transactions / web log data / web mining / typical web site / earliest such systems / data mining tasks / web information space / web personalization / basically focused on creating recommender systems / /

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Alps / /

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University of Maryland / MIT / University of Missouri / office of Naval / University of Memphis / Memphis / Colorado School of Mines / University of Minnesota / office of Naval Research Research / /

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Raghu Krishnapuram / Anupam Joshi / /

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Minnesota / Alaska / Maryland / Baltimore County / New York / Missouri / Colorado / /

Technology

LAN / Fuzzy Objective Function Algorithms / CA algorithm / The Relation Matrix Clustering algorithms / html / K-Means algorithm / c-means algorithms / resulting CARD algorithm / HTTP / data mining / Apriori algorithm / Dav / /

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http /

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