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Paper Abstract and Keywords
Presentation 2007-07-03 15:50
Detecting Outliers in High Dimensional Datasets with Examples
Yuan Li, Hiroyuki Kitagawa (Univ. of Tsukuba) DE2007-92
Abstract (in Japanese) (See Japanese page) 
(in English) Many real applications of outlier detection can be utilized in various fields. Most of such applications process high dimensional datasets. In one of our previous work, we proposed an Example-Based outlier detection method making use of outlier examples to detect outliers that have similar “outlier-ness” to these examples in high dimensional datasets. However, it employs meshes for deciding outliers, and all points within the same cell are regarded as normal objects or outliers. Thus, sometimes normal objects may be detected as outliers, and vice versa. Distance-Based outlier (DB-Outlier) detection is a simple and commonly used approach, besides it can detect real outliers by calculating the distance between data points. In this paper, we introduce a method to detect DB-Outliers in high dimensional datasets based on outlier examples, and show some comparison experiments between our new method and the old one.
Keyword (in Japanese) (See Japanese page) 
(in English) Outlier / High-dimensional / Data / Example / / / /  
Reference Info. IEICE Tech. Rep., vol. 107, no. 131, DE2007-92, pp. 423-428, July 2007.
Paper # DE2007-92 
Date of Issue 2007-06-25 (DE) 
ISSN Print edition: ISSN 0913-5685    Online edition: ISSN 2432-6380
Copyright
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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 DE  
Conference Date 2007-07-02 - 2007-07-04 
Place (in Japanese) (See Japanese page) 
Place (in English) Akiu hot springs (Sendai) 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Summer Database Workshop 2007 (Data engineering, etc.) 
Paper Information
Registration To DE 
Conference Code 2007-07-DE 
Language English 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Detecting Outliers in High Dimensional Datasets with Examples 
Sub Title (in English)  
Keyword(1) Outlier  
Keyword(2) High-dimensional  
Keyword(3) Data  
Keyword(4) Example  
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1st Author's Name Yuan Li  
1st Author's Affiliation University of Tsukuba (Univ. of Tsukuba)
2nd Author's Name Hiroyuki Kitagawa  
2nd Author's Affiliation University of Tsukuba (Univ. of Tsukuba)
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Speaker Author-1 
Date Time 2007-07-03 15:50:00 
Presentation Time 25 minutes 
Registration for DE 
Paper # DE2007-92 
Volume (vol) vol.107 
Number (no) no.131 
Page pp.423-428 
#Pages
Date of Issue 2007-06-25 (DE) 


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