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Paper Abstract and Keywords
Presentation 2011-10-06 15:30
[Special Talk] Large Scale Data Mining of the Mobage Service
Koichi Hamada (DeNA) PRMU2011-90
Abstract (in Japanese) (See Japanese page) 
(in English) Mobage is a social gaming platform, where over 27 million users are registered and over 2 billion user behavior records are stored per day. Data mining and machine learning methodologies are used to reveal hidden patterns that describe user entertainment preferences, which can accelerate service refinements. The Mobage service applications will be introduced.
Keyword (in Japanese) (See Japanese page) 
(in English) Data mining / Big data / Social service / / / / /  
Reference Info. IEICE Tech. Rep., vol. 111, no. 222, PRMU2011-90, pp. 19-19, Oct. 2011.
Paper # PRMU2011-90 
Date of Issue 2011-09-29 (PRMU) 
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 PRMU2011-90

Conference Information
Committee PRMU  
Conference Date 2011-10-06 - 2011-10-07 
Place (in Japanese) (See Japanese page) 
Place (in English)  
Topics (in Japanese) (See Japanese page) 
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Paper Information
Registration To PRMU 
Conference Code 2011-10-PRMU 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Large Scale Data Mining of the Mobage Service 
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Keyword(1) Data mining  
Keyword(2) Big data  
Keyword(3) Social service  
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1st Author's Name Koichi Hamada  
1st Author's Affiliation DeNA Co., Ltd. (DeNA)
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Speaker Author-1 
Date Time 2011-10-06 15:30:00 
Presentation Time 40 minutes 
Registration for PRMU 
Paper # PRMU2011-90 
Volume (vol) vol.111 
Number (no) no.222 
Page p.19 
#Pages 1 
Date of Issue 2011-09-29 (PRMU) 

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