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Paper Abstract and Keywords
Presentation 2007-01-26 14:50
The applications of Data Mining to human behavior analysis,on the point of view of arranging supervised data
Ichiro Toyoshima, Kanako Hattori, Takufumi Yoshida, Toyokazu Itakura, Ryohei Orihara (TOSHIBA)
Abstract (in Japanese) (See Japanese page) 
(in English) In recent years,various sensing technologies(e.g. RFID,Image Processing)allow us to get the data of human behavior in real world. We have studied a behavior classification system by data mining methods,using the
humen behavior data. Data mining is a generic term of knowledge discovery methods in data base,based on some theories such as machine learning,data base ,statistics. Auto classification is a subdomain of supervised learning in machine learning. Its result depends on quality of supervised data. We applied some data mining methods to human behavior classificasion.
In this paper,we report their results(analysis of customers behavior in retail store,analysys of workers’ behavior in manufacyory plant ,detection of abnormal behaviors) on the point of view of arranging
supervised data.
Keyword (in Japanese) (See Japanese page) 
(in English) behavior classification / analysis of customers behavior in retail store / analysys of workers’ behavior / detection of abnormal behaviors / machine learning / supervised data / /  
Reference Info. IEICE Tech. Rep., vol. 106, Jan. 2007.
Paper #  
Date of Issue 2007-01-19 (CST) 
ISSN Print edition: ISSN 0913-5685
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Conference Information
Committee MSS  
Conference Date 2007-01-26 - 2007-01-26 
Place (in Japanese) (See Japanese page) 
Place (in English) Kikai-Shinko-Kaikan Bldg. 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Concurrent systems, etc. 
Paper Information
Registration To MSS 
Conference Code 2007-01-CST 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) The applications of Data Mining to human behavior analysis,on the point of view of arranging supervised data 
Sub Title (in English)  
Keyword(1) behavior classification  
Keyword(2) analysis of customers behavior in retail store  
Keyword(3) analysys of workers’ behavior  
Keyword(4) detection of abnormal behaviors  
Keyword(5) machine learning  
Keyword(6) supervised data  
Keyword(7)  
Keyword(8)  
1st Author's Name Ichiro Toyoshima  
1st Author's Affiliation TOSHIBA Corporation (TOSHIBA)
2nd Author's Name Kanako Hattori  
2nd Author's Affiliation TOSHIBA Corporation (TOSHIBA)
3rd Author's Name Takufumi Yoshida  
3rd Author's Affiliation TOSHIBA Corporation (TOSHIBA)
4th Author's Name Toyokazu Itakura  
4th Author's Affiliation TOSHIBA Corporation (TOSHIBA)
5th Author's Name Ryohei Orihara  
5th Author's Affiliation TOSHIBA Corporation (TOSHIBA)
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Speaker Author-1 
Date Time 2007-01-26 14:50:00 
Presentation Time 25 minutes 
Registration for MSS 
Paper # CST2006-42 
Volume (vol) vol.106 
Number (no) no.502 
Page pp.25-30 
#Pages
Date of Issue 2007-01-19 (CST) 


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