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Please use this identifier to cite or link to this item: http://hdl.handle.net/10119/4098

Title: A Graph-Based Web Usage Mining Considering Page Browsing Time
Authors: Mihara, Koichiro
Terabe, Masahiro
Hashimoto, Kazuo
Keywords: Web access log analysis
Web Usage Mining
Graph Mining
Page browsing time
Issue Date: Nov-2007
Publisher: JAIST Press
Abstract: With the increase of large web sites which have complex link structures, web access logs have caught attention as a clue for web site administrators to understand user's needs and demands. While conventional statistical analysis is used for most of the cases, web usage mining is an emerging attempt to apply data-mining based technique to web access log analyses. However, statistical and data-mining based analyses have been independently applied, and no method has been reported to correlate their results yet. This paper introduces a novel web usage mining method to combine the statistical analysis of page browsing time and the graph based data mining technique in order to extract users' typical browsing behaviors.
Description: The original publication is available at JAIST Press http://www.jaist.ac.jp/library/jaist-press/index.html
KICSS 2007 : The Second International Conference on Knowledge, Information and Creativity Support Systems : PROCEEDINGS OF THE CONFERENCE, November 5-7, 2007, [Ishikawa High-Tech Conference Center, Nomi, Ishikawa, JAPAN]
Language: ENG
URI: http://hdl.handle.net/10119/4098
ISBN: 9784903092089
Appears in Collections:KICSS 2007

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