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» Business Intelligence from Web Usage Mining
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HICSS
2003
IEEE
182views Biometrics» more  HICSS 2003»
14 years 1 months ago
Business Intelligence Explorer: A Knowledge Map Framework for Discovering Business Intelligence on the Web
Nowadays, information overload hinders the discovery of business intelligence on the World Wide Web. Existing business intelligence tools suffer from a lack of analysis and visual...
Wingyan Chung, Hsinchun Chen, Jay F. Nunamaker
DATAMINE
2008
91views more  DATAMINE 2008»
13 years 8 months ago
Web usage mining: extracting unexpected periods from web logs
Florent Masseglia, Pascal Poncelet, Maguelonne Tei...
KDD
2001
ACM
262views Data Mining» more  KDD 2001»
14 years 9 months ago
LOGML: Log Markup Language for Web Usage Mining
Web Usage Mining refers to the discovery of interesting information from user navigational behavior as stored in web access logs. While extracting simple information from web logs...
John R. Punin, Mukkai S. Krishnamoorthy, Mohammed ...
IV
2008
IEEE
133views Visualization» more  IV 2008»
14 years 2 months ago
Mining Scholarly Semantic Networks from the Web
With the increased usage of the Web and its availability of data, various scholarly information is now available on the Web. Extraction, aggregation, and visualization of such inf...
Mizuki Oka, Yutaka Matsuo
IJBIDM
2011
127views more  IJBIDM 2011»
13 years 3 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