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Paper Abstract and Keywords
Presentation 2012-09-02 10:30
Detecting Changes of Graph Partitioning Structures using Stochastic Decision Trees
Shoichi Sato, Kenji Yamanishi (Univ. of Tokyo) PRMU2012-31 IBISML2012-14
Abstract (in Japanese) (See Japanese page) 
(in English) We are concerned with the issue of estimating graph partitioning structures
from time series and tracking their changes over time.
The issue of graph partitioning is important in that it leads to
extracting network communities. Detecting changes of graph partitioning
may also be significant since it is related to event detection.
We present a new algorithm for detecting graph structure changes.
The key ideas are: 1) We employ stochastic
decision trees to represent probabilistic models of graph partitioning
structures. 2) We then reduce the issue of change detection for graph
structures to that of detecting changes of tree structures on the basis
of the minimum description length principle.
We use artificial and real data sets to empirically demonstrate the validity
of our algorithm in comparison with Sun et.al.'s existing algorithm.
Keyword (in Japanese) (See Japanese page) 
(in English) Stochastic Decision Tree / Normalized Maximum Likelihood(NML) / Dynamic Model Selection / Minimum Description Length(MDL) Principle / / / /  
Reference Info. IEICE Tech. Rep., vol. 112, no. 198, IBISML2012-14, pp. 9-16, Sept. 2012.
Paper # IBISML2012-14 
Date of Issue 2012-08-26 (PRMU, IBISML) 
ISSN Print edition: ISSN 0913-5685    Online edition: ISSN 2432-6380
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Conference Information
Committee PRMU IBISML IPSJ-CVIM  
Conference Date 2012-09-02 - 2012-09-03 
Place (in Japanese) (See Japanese page) 
Place (in English)  
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To IBISML 
Conference Code 2012-09-PRMU-IBISML-CVIM 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Detecting Changes of Graph Partitioning Structures using Stochastic Decision Trees 
Sub Title (in English)  
Keyword(1) Stochastic Decision Tree  
Keyword(2) Normalized Maximum Likelihood(NML)  
Keyword(3) Dynamic Model Selection  
Keyword(4) Minimum Description Length(MDL) Principle  
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Keyword(6)  
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Keyword(8)  
1st Author's Name Shoichi Sato  
1st Author's Affiliation University of Tokyo (Univ. of Tokyo)
2nd Author's Name Kenji Yamanishi  
2nd Author's Affiliation University of Tokyo (Univ. of Tokyo)
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Speaker Author-1 
Date Time 2012-09-02 10:30:00 
Presentation Time 30 minutes 
Registration for IBISML 
Paper # PRMU2012-31, IBISML2012-14 
Volume (vol) vol.112 
Number (no) no.197(PRMU), no.198(IBISML) 
Page pp.9-16 
#Pages
Date of Issue 2012-08-26 (PRMU, IBISML) 


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