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Paper Abstract and Keywords
Presentation 2012-03-08 15:15
Effect of the improvement on classification performance of the filtering system based on Baysian and decision tree methods
Hiroyuki Yamaguchi, Manabu Sugii, Hiroshi Matsuno (Yamaguchi Univ.) MSS2011-76
Abstract (in Japanese) (See Japanese page) 
(in English) Recent increase of spam mails is a serious problem in the Internet. bsfilter is one of the most well-used spam filters in the world, which employs Bayes's theorem for the classification of regular and spam mails. Aiming at more efficient mail classification, we have been working on the development of a new mail filtering system, in which the bsfilter and a machine learning system BONSAI are combined. In this system, after classifying regular mails by bsfilter, BONSAI is used for the classification of remaining mails. For the further improvement of this system for collecting all the regular mails, we have made the following two trials; spam mail collection in the first step by bsfilter and an appropriate threshold setting of the bsfilter. Experimental results
are shown to prove the efficiency of the proposed method.
Keyword (in Japanese) (See Japanese page) 
(in English) security / mail filterring / machine learning / Bayes method / / / /  
Reference Info. IEICE Tech. Rep., vol. 111, no. 453, MSS2011-76, pp. 23-28, March 2012.
Paper # MSS2011-76 
Date of Issue 2012-03-01 (MSS) 
ISSN Print edition: ISSN 0913-5685    Online edition: ISSN 2432-6380
Copyright
and
reproduction
All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034)
Download PDF MSS2011-76

Conference Information
Committee MSS  
Conference Date 2012-03-08 - 2012-03-09 
Place (in Japanese) (See Japanese page) 
Place (in English) JAIST Tokyo Satellite 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To MSS 
Conference Code 2012-03-MSS 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Effect of the improvement on classification performance of the filtering system based on Baysian and decision tree methods 
Sub Title (in English)  
Keyword(1) security  
Keyword(2) mail filterring  
Keyword(3) machine learning  
Keyword(4) Bayes method  
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1st Author's Name Hiroyuki Yamaguchi  
1st Author's Affiliation Yamaguchi University (Yamaguchi Univ.)
2nd Author's Name Manabu Sugii  
2nd Author's Affiliation Media and Infomation Techonology Center, Yamaguchi University (Yamaguchi Univ.)
3rd Author's Name Hiroshi Matsuno  
3rd Author's Affiliation Yamaguchi Univirsity (Yamaguchi Univ.)
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Speaker Author-1 
Date Time 2012-03-08 15:15:00 
Presentation Time 25 minutes 
Registration for MSS 
Paper # MSS2011-76 
Volume (vol) vol.111 
Number (no) no.453 
Page pp.23-28 
#Pages
Date of Issue 2012-03-01 (MSS) 


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