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Paper Abstract and Keywords
Presentation 2011-06-20 14:30
Network Change Detection with Its Applications to Advertisement Impact Relation Analysis
Yu Hayashi, Kenji Yamanishi (Univ. of Tokyo.) IBISML2011-9
Abstract (in Japanese) (See Japanese page) 
(in English) This paper addresses the issue of network change detection with its applications to advertisement impact relation analysis. When we observe a number of time series which variables are related one another and their relations appear or disappear as time goes by, network change detection is to estimate from time series data their relations and its changes.
We employ as a representation of relations among factors a Bayesian network and apply the theory of dynamic model selection to the tracking of its changes. We develop some heuristics for efficient computation of an optimal path of network changes.
We use artificial data sets to demonstrate that our proposed method is able to detect network changes more reliably than the existing method. We further propose the framework to apply network change detection for advertisement impact relation analysis and use real data sets to demonstrate a validity of our proposed framework.
Keyword (in Japanese) (See Japanese page) 
(in English) Network Change Detection / Bayesian Network / Dynamic Model Selection / / / / /  
Reference Info. IEICE Tech. Rep., vol. 111, no. 87, IBISML2011-9, pp. 59-66, June 2011.
Paper # IBISML2011-9 
Date of Issue 2011-06-13 (IBISML) 
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 IBISML  
Conference Date 2011-06-20 - 2011-06-21 
Place (in Japanese) (See Japanese page) 
Place (in English) Takeda Hall 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Machine learning and its applications 
Paper Information
Registration To IBISML 
Conference Code 2011-06-IBISML 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Network Change Detection with Its Applications to Advertisement Impact Relation Analysis 
Sub Title (in English)  
Keyword(1) Network Change Detection  
Keyword(2) Bayesian Network  
Keyword(3) Dynamic Model Selection  
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1st Author's Name Yu Hayashi  
1st Author's Affiliation The University of Tokyo (Univ. of Tokyo.)
2nd Author's Name Kenji Yamanishi  
2nd Author's Affiliation The University of Tokyo (Univ. of Tokyo.)
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Speaker Author-1 
Date Time 2011-06-20 14:30:00 
Presentation Time 30 minutes 
Registration for IBISML 
Paper # IBISML2011-9 
Volume (vol) vol.111 
Number (no) no.87 
Page pp.59-66 
#Pages
Date of Issue 2011-06-13 (IBISML) 


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