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Paper Abstract and Keywords
Presentation 2007-05-31 16:15
New Structure Similarity and Graph Clustering in Matching Any Graph Characterized by Subgraph Distributions
Takahisa Wada, Hiroyuki Oono, Hiroshige Inazumi (Aoyama Gakuin Univ.) AI2007-10
Abstract (in Japanese) (See Japanese page) 
(in English) As a diversification and increases of a complex structure data, the development of a useful DB system and a new data mining technique is important for effective use of those data. In this paper, we propose new structure similarity in accordance with the feature of target graph sets, and discusses a graph clustering method based on its criterion. Each graph is expressed by the matrix that shows the relation between the node and the subgraph. The similarity is defined by the match of the matrix. In the extraction of a feature structure from the graph sets, Cl-GBI(Chunkingless Graph Based Induction) is used. Because Cl-GBI can control the search space by adjusting to each parameter, structural information can be efficiently used. The examination and the application of the characteristic of the above-mentioned technique are considered.
Keyword (in Japanese) (See Japanese page) 
(in English) structure similarity / Cl-GBI(Chunkingless Graph Based Induction) / graph mining / clustering / / / /  
Reference Info. IEICE Tech. Rep., vol. 107, no. 78, AI2007-10, pp. 51-56, May 2007.
Paper # AI2007-10 
Date of Issue 2007-05-24 (AI) 
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)
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Conference Information
Committee AI  
Conference Date 2007-05-31 - 2007-05-31 
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 AI 
Conference Code 2007-05-AI 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) New Structure Similarity and Graph Clustering in Matching Any Graph Characterized by Subgraph Distributions 
Sub Title (in English)  
Keyword(1) structure similarity  
Keyword(2) Cl-GBI(Chunkingless Graph Based Induction)  
Keyword(3) graph mining  
Keyword(4) clustering  
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1st Author's Name Takahisa Wada  
1st Author's Affiliation Aoyama Gakuin University (Aoyama Gakuin Univ.)
2nd Author's Name Hiroyuki Oono  
2nd Author's Affiliation Aoyama Gakuin University (Aoyama Gakuin Univ.)
3rd Author's Name Hiroshige Inazumi  
3rd Author's Affiliation Aoyama Gakuin University (Aoyama Gakuin Univ.)
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Speaker Author-1 
Date Time 2007-05-31 16:15:00 
Presentation Time 25 minutes 
Registration for AI 
Paper # AI2007-10 
Volume (vol) vol.107 
Number (no) no.78 
Page pp.51-56 
#Pages 6 
Date of Issue 2007-05-24 (AI) 

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