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Paper Abstract and Keywords
Presentation 2011-11-10 15:45
Sequential Network Change Detection with Its Applications to Advertisement Impact Relation Analysis
Yu Hayashi, Kenji Yamanishi (Univ. of Tokyo.)
Abstract (in Japanese) (See Japanese page) 
(in English) This paper addresses the issue of network change detection from non-stationary time series data. 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.
Conventionally it has been proposed a batch algorithm for network change
detection, we propose a novel sequential algorithm for network change detection. The key idea is to sequentially apply dynamic programming technique over subsequences of length a fixed size. We further restrict the model space for the efficient computation.
We use artificial data sets to demonstrate the validity of the proposed method in comparison with the existing method. We further use real data sets to demonstrate that our proposed framework enables us to analyze an impact of an advertisement.
Keyword (in Japanese) (See Japanese page) 
(in English) Network Change Detection / Bayesian Network / Dynamic Model Selection / / / / /  
Reference Info. IEICE Tech. Rep., vol. 111, no. 275, IBISML2011-71, pp. 199-206, Nov. 2011.
Paper # IBISML2011-71 
Date of Issue 2011-11-02 (IBISML) 
ISSN Print edition: ISSN 0913-5685  Online edition: ISSN 2432-6380

Conference Information
Committee IBISML  
Conference Date 2011-11-09 - 2011-11-11 
Place (in Japanese) (See Japanese page) 
Place (in English) Nara Womens Univ. 
Topics (in Japanese) (See Japanese page) 
Topics (in English) The 14th IBIS workshop 
Paper Information
Registration To IBISML 
Conference Code 2011-11-IBISML 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Sequential 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
Date Time 2011-11-10 15:45:00 
Presentation Time 180 
Registration for IBISML 
Paper # IEICE-IBISML2011-71 
Volume (vol) IEICE-111 
Number (no) no.275 
Page pp.199-206 
#Pages IEICE-8 
Date of Issue IEICE-IBISML-2011-11-02 


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