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Paper Abstract and Keywords
Presentation 2015-03-05 15:20
A "a big day" search method using features of staying places
Keigo Hayashi, Sunao Hara, Masanobu Abe (Okayama Univ.) LOIS2014-76
Abstract (in Japanese) (See Japanese page) 
(in English) In recent years, a life log is getting popular and used to provide specific services for a particular person. One of them is to retrieve memories. Life log helps us to recall events, activities, accidents, etc., but the huge amount of data in life log make it difficult for us to find out what we really want. In this paper, we propose a method to retrieve "a big day" using a feature value that is calculated from GPS data; i.e., the feature is defined as function of visiting frequency of places. According to experiments results, the proposed method can retrieve "a big day" at a rate of 60% and unusual day at a rate of 90%. As subjective evaluations were also carried out from the perspective of effectiveness, efficiency and satisfaction. The results showed that the proposal method has better performance than a conventional method.
Keyword (in Japanese) (See Japanese page) 
(in English) GPS data / visiting place / a big day / / / / /  
Reference Info. IEICE Tech. Rep., vol. 114, no. 500, LOIS2014-76, pp. 89-94, March 2015.
Paper # LOIS2014-76 
Date of Issue 2015-02-26 (LOIS) 
ISSN Print edition: ISSN 0913-5685    Online edition: ISSN 2432-6380
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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 LOIS  
Conference Date 2015-03-05 - 2015-03-06 
Place (in Japanese) (See Japanese page) 
Place (in English)  
Topics (in Japanese) (See Japanese page) 
Topics (in English) Okinawa Institute of Science and Technology Graduate University 
Paper Information
Registration To LOIS 
Conference Code 2015-03-LOIS 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) A "a big day" search method using features of staying places 
Sub Title (in English)  
Keyword(1) GPS data  
Keyword(2) visiting place  
Keyword(3) a big day  
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1st Author's Name Keigo Hayashi  
1st Author's Affiliation Okayama University (Okayama Univ.)
2nd Author's Name Sunao Hara  
2nd Author's Affiliation Okayama University (Okayama Univ.)
3rd Author's Name Masanobu Abe  
3rd Author's Affiliation Okayama University (Okayama Univ.)
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Speaker Author-1 
Date Time 2015-03-05 15:20:00 
Presentation Time 20 minutes 
Registration for LOIS 
Paper # LOIS2014-76 
Volume (vol) vol.114 
Number (no) no.500 
Page pp.89-94 
#Pages
Date of Issue 2015-02-26 (LOIS) 


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