|
JAIST Repository >
科学技術開発戦略センター 2003～2008 >
z2-70. JAIST PRESS 発行誌等 >
KICSS 2007 >
このアイテムの引用には次の識別子を使用してください:
http://hdl.handle.net/10119/4098
|
| タイトル: | A Graph-Based Web Usage Mining Considering Page Browsing Time |
| 著者: | Mihara, Koichiro
Terabe, Masahiro
Hashimoto, Kazuo |
| キーワード: | Web access log analysis
Web Usage Mining
Graph Mining
Page browsing time |
| 発行日: | Nov-2007 |
| 出版者: | JAIST Press |
| 抄録: | 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. |
| 記述: | 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] |
| 言語: | ENG |
| URI: | http://hdl.handle.net/10119/4098 |
| ISBN: | 9784903092089 |
| 出現コレクション: | KICSS 2007
|
このアイテムのファイル:
| ファイル |
記述 |
サイズ | 形式 |
|---|
| 33.pdf | | 650Kb | Adobe PDF | 見る/開く |
|
当システムに保管されているアイテムはすべて著作権により保護されています。
|
