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Paper Abstract and Keywords
Presentation 2007-07-03 15:25
Outlier Detection for Transaction Databases using Association Rules with High Confidences
Kazuyo Narita, Hiroyuki Kitagawa (Tsukuba Univ.) DE2007-88
Abstract (in Japanese) (See Japanese page) 
(in English) Outlier Detection, a data mining technique to detect rare events, deviant objects, and exceptions from data, has been drawing increasing attention in recent years. However, much existing research targets record data constructed with numerical attributes or a set of points having numeric values. Very few studies have attempted to detect outliers from data having
categorical attributes or items.
We focus on transaction databases typified by POS data, and propose a framework for detecting {\it outlier transactions} behaving abnormally compared to others based on information of association rules with high confidence.
To the best of our knowledge, there are no studies detecting outliers from transaction data using association rules.
Keyword (in Japanese) (See Japanese page) 
(in English) outlier detection / association rules / frequent itemsets / / / / /  
Reference Info. IEICE Tech. Rep., vol. 107, no. 131, DE2007-88, pp. 399-404, July 2007.
Paper # DE2007-88 
Date of Issue 2007-06-25 (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 DE2007-88

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 Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Outlier Detection for Transaction Databases using Association Rules with High Confidences 
Sub Title (in English)  
Keyword(1) outlier detection  
Keyword(2) association rules  
Keyword(3) frequent itemsets  
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1st Author's Name Kazuyo Narita  
1st Author's Affiliation University of Tsukuba (Tsukuba Univ.)
2nd Author's Name Hiroyuki Kitagawa  
2nd Author's Affiliation University of Tsukuba (Tsukuba Univ.)
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Speaker Author-1 
Date Time 2007-07-03 15:25:00 
Presentation Time 25 minutes 
Registration for DE 
Paper # DE2007-88 
Volume (vol) vol.107 
Number (no) no.131 
Page pp.399-404 
#Pages 6 
Date of Issue 2007-06-25 (DE) 

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