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Paper Abstract and Keywords
Presentation 2009-07-28 11:00
Maximal Metric Margin Partitioning for Similarity Search Index
Hisashi Kurasawa (Univ. of Tokyo), Daiji Fukagawa, Atsuhiro Takasu, Jun Adachi (NII) DE2009-3
Abstract (in Japanese) (See Japanese page) 
(in English) A fundamental issue that confronts the development of an index for similarity searches in metric spaces is how to divide the data effectively for search pruning. We propose Maximal Metric Margin Partitioning (MMMP), a partitioning scheme for similarity search indexes. MMMP divides the data space based on its distribution patterns, especially the boundaries of clusters. A partitioning surface created by MMMP is at maximum distances from the two cluster boundaries. MMMP is the first similarity search index approach to focus on the partitioning surfaces and data distribution patterns. We also present an indexing scheme, named the MMMP-Index, that uses MMMP and pivot filtering. The MMMP-Index discards many objects that are not relevant to a query by MMMP, and it reduces the query execution cost. Experimental results show that MMMP effectively indexes clustered data and reduces the search cost. For clustered vector data, the MMMP-Index reduces the computational cost to less than two thirds that of the compared schemes.
Keyword (in Japanese) (See Japanese page) 
(in English) Similarity Search / Index / Metric Space / Margin / Pivot partitioning / / /  
Reference Info. IEICE Tech. Rep., vol. 109, no. 153, DE2009-3, pp. 13-18, July 2009.
Paper # DE2009-3 
Date of Issue 2009-07-21 (DE) 
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 DE2009-3

Conference Information
Committee DE  
Conference Date 2009-07-28 - 2009-07-28 
Place (in Japanese) (See Japanese page) 
Place (in English) Kobe fashion mart 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Ubiquitous, sensor environments, and database system, etc. 
Paper Information
Registration To DE 
Conference Code 2009-07-DE 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Maximal Metric Margin Partitioning for Similarity Search Index 
Sub Title (in English)  
Keyword(1) Similarity Search  
Keyword(2) Index  
Keyword(3) Metric Space  
Keyword(4) Margin  
Keyword(5) Pivot partitioning  
Keyword(6)  
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1st Author's Name Hisashi Kurasawa  
1st Author's Affiliation The University of Tokyo (Univ. of Tokyo)
2nd Author's Name Daiji Fukagawa  
2nd Author's Affiliation National Institute of Informatics (NII)
3rd Author's Name Atsuhiro Takasu  
3rd Author's Affiliation National Institute of Informatics (NII)
4th Author's Name Jun Adachi  
4th Author's Affiliation National Institute of Informatics (NII)
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Speaker Author-1 
Date Time 2009-07-28 11:00:00 
Presentation Time 30 minutes 
Registration for DE 
Paper # DE2009-3 
Volume (vol) vol.109 
Number (no) no.153 
Page pp.13-18 
#Pages 6 
Date of Issue 2009-07-21 (DE) 

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