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» WebUser: mining unexpected web usage
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IJBIDM
2011
127views more  IJBIDM 2011»
13 years 6 months ago
WebUser: mining unexpected web usage
: Web usage mining has been much concentrated on the discovery of relevant user behaviours from Web access record data. In this paper, we present WebUser, an approach to discover u...
Dong (Haoyuan) Li, Anne Laurent, Pascal Poncelet
DATAMINE
2008
91views more  DATAMINE 2008»
13 years 11 months ago
Web usage mining: extracting unexpected periods from web logs
Florent Masseglia, Pascal Poncelet, Maguelonne Tei...
DASFAA
2006
IEEE
168views Database» more  DASFAA 2006»
14 years 2 months ago
COWES: Clustering Web Users Based on Historical Web Sessions
Clustering web users is one of the most important research topics in web usage mining. Existing approaches cluster web users based on the snapshots of web user sessions. They do no...
Ling Chen 0002, Sourav S. Bhowmick, Jinyan Li
KDD
2002
ACM
173views Data Mining» more  KDD 2002»
14 years 11 months ago
LumberJack: Intelligent Discovery and Analysis of Web User Traffic Composition
Web Usage Mining enables new understanding of user goals on the Web. This understanding has broad applications, and traditional mining techniques such as association rules have bee...
Ed Huai-hsin Chi, Adam Rosien, Jeffrey Heer
ISMIS
2005
Springer
14 years 4 months ago
Model-Based Cluster Analysis for Web Users Sessions
One of the main issues inWeb usage mining is the discovery of patterns in the navigational behavior of Web users. Standard approaches, such as clustering of users’sessions and di...
George Pallis, Lefteris Angelis, Athena Vakali