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Paper Abstract and Keywords
Presentation 2015-06-18 11:05
Decision Making Strategy Based on Time Series Data of Voting Behavior: Preliminary Report
Shogo Higuchi, Ryohei Orihara, Yuichi Sei, Yasuyuki Tahara, Akihiko Ohsuga (UEC) AI2015-2
Abstract (in Japanese) (See Japanese page) 
(in English) In gambling such as horse racing, we are sometimes able to peep specific voting behavior by a punter with the advantageous information closely related to the results. The punter is often referred as an insider. In this study, our goal is to propose a reasonable investment strategy by peeping insiders' decision-making based on the time series odds data in horse racing run by JRA. We have found the conditions that rate of return is more than 300% for races whose winner's prize money is 20 million yens or more. That suggests the possibility of knowledge peeping.
Keyword (in Japanese) (See Japanese page) 
(in English) Horse racing prediction / Time series data / Optimization / Decision tree / Knowledge peeping / / /  
Reference Info. IEICE Tech. Rep., vol. 115, no. 97, AI2015-2, pp. 7-11, June 2015.
Paper # AI2015-2 
Date of Issue 2015-06-11 (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)
Download PDF AI2015-2

Conference Information
Committee AI  
Conference Date 2015-06-18 - 2015-06-18 
Place (in Japanese) (See Japanese page) 
Place (in English)  
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To AI 
Conference Code 2015-06-AI 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Decision Making Strategy Based on Time Series Data of Voting Behavior: Preliminary Report 
Sub Title (in English)  
Keyword(1) Horse racing prediction  
Keyword(2) Time series data  
Keyword(3) Optimization  
Keyword(4) Decision tree  
Keyword(5) Knowledge peeping  
Keyword(6)  
Keyword(7)  
Keyword(8)  
1st Author's Name Shogo Higuchi  
1st Author's Affiliation University of Electro-Communications (UEC)
2nd Author's Name Ryohei Orihara  
2nd Author's Affiliation University of Electro-Communications (UEC)
3rd Author's Name Yuichi Sei  
3rd Author's Affiliation University of Electro-Communications (UEC)
4th Author's Name Yasuyuki Tahara  
4th Author's Affiliation University of Electro-Communications (UEC)
5th Author's Name Akihiko Ohsuga  
5th Author's Affiliation University of Electro-Communications (UEC)
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Speaker Author-1 
Date Time 2015-06-18 11:05:00 
Presentation Time 25 minutes 
Registration for AI 
Paper # AI2015-2 
Volume (vol) vol.115 
Number (no) no.97 
Page pp.7-11 
#Pages 5 
Date of Issue 2015-06-11 (AI) 

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