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Paper Abstract and Keywords
Presentation 2005-03-14 15:20
Web Mining Using Bayesian Method
Tamaki Amano, Hidenori Nakazato (Waseda Univ.), Takashi Nakamura (Oki Telecomm.)
Abstract (in Japanese) (See Japanese page) 
(in English) The Internet is growing and many Web pages are begin created. Acquiring desired Web pages is getting difficult due to their vast amount. The technique to efficiently find out desired Web pages is increasingly sought. In this paper, we propose a technique using bayesian method to search Web pages similar to user's favorite Web pages. Feature on favorite pages is stored as knowledge to search similar Web pages. We also propose a method to reduce the number of pages required for extracting the similarity.
Keyword (in Japanese) (See Japanese page) 
(in English) Web Mining / Bayesian / Bookmark / / / / /  
Reference Info. IEICE Tech. Rep., vol. 104, no. 724, KBSE2004-52, pp. 43-48, March 2005.
Paper # KBSE2004-52 
Date of Issue 2005-03-07 (KBSE) 
ISSN Print edition: ISSN 0913-5685
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Conference Information
Committee KBSE  
Conference Date 2005-03-14 - 2005-03-15 
Place (in Japanese) (See Japanese page) 
Place (in English) Kikai-Shinko-Kaikan Bldg. 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To KBSE 
Conference Code 2005-03-KBSE 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Web Mining Using Bayesian Method 
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Keyword(1) Web Mining  
Keyword(2) Bayesian  
Keyword(3) Bookmark  
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1st Author's Name Tamaki Amano  
1st Author's Affiliation Waseda University (Waseda Univ.)
2nd Author's Name Hidenori Nakazato  
2nd Author's Affiliation Waseda University (Waseda Univ.)
3rd Author's Name Takashi Nakamura  
3rd Author's Affiliation Oki Telecommunication Systems Co.,Ltd. (Oki Telecomm.)
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Speaker Author-1 
Date Time 2005-03-14 15:20:00 
Presentation Time 40 minutes 
Registration for KBSE 
Paper # KBSE2004-52 
Volume (vol) vol.104 
Number (no) no.724 
Page pp.43-48 
#Pages
Date of Issue 2005-03-07 (KBSE) 


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