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Paper Abstract and Keywords
Presentation 2017-01-19 15:20
Performance Evaluation of a Streaming Algorithm for Detecting Items with the Frequency of Appearance Changing Abruptly
Tsuyoshi Kinoshita, Norikazu Takahashi (Okayama Univ.) IT2016-77 SIP2016-115 RCS2016-267
Abstract (in Japanese) (See Japanese page) 
(in English) In recent years, a large amount of data is continuously generated at various places because of the development of information and communication technologies and the spread of terminals connected to the Internet. Examples of such data are server access log records, customer purchase histories in on-line shopping sites, comments on SNS, video images captured by security cameras, and so on. Streaming algorithms are the algorithms that can handle a large data that arrives as a stream with a limited memory space. A streaming algorithm deletes records associated with items of little significance in a proper way, thereby memory usage and computation time can be reduced. In this report, we consider a streaming algorithm, which was recently proposed by the authors, to detect items with the frequency of appearance abruptly increases or decreases, and evaluate the performance from both theoretical and experimental points of view. In theoretical analysis, we derive upper and lower bounds for the rate of change of the frequency of appearance of misdetected items. In experiments, we apply the proposed algorithm to real data and evaluate the performance in terms of computation time and accuracy of detection.
Keyword (in Japanese) (See Japanese page) 
(in English) streaming algorithm / frequency of appearance / trend detection / accuracy of detection / / / /  
Reference Info. IEICE Tech. Rep., vol. 116, no. 395, SIP2016-115, pp. 183-188, Jan. 2017.
Paper # SIP2016-115 
Date of Issue 2017-01-12 (IT, SIP, RCS) 
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 IT2016-77 SIP2016-115 RCS2016-267

Conference Information
Committee IT SIP RCS  
Conference Date 2017-01-19 - 2017-01-20 
Place (in Japanese) (See Japanese page) 
Place (in English) Osaka City Univ. 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Signal Processing for Wireless Communications, Learning, Mathematical Science, Communication Theory, etc. 
Paper Information
Registration To SIP 
Conference Code 2017-01-IT-SIP-RCS 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Performance Evaluation of a Streaming Algorithm for Detecting Items with the Frequency of Appearance Changing Abruptly 
Sub Title (in English)  
Keyword(1) streaming algorithm  
Keyword(2) frequency of appearance  
Keyword(3) trend detection  
Keyword(4) accuracy of detection  
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Keyword(6)  
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1st Author's Name Tsuyoshi Kinoshita  
1st Author's Affiliation Okayama University (Okayama Univ.)
2nd Author's Name Norikazu Takahashi  
2nd Author's Affiliation Okayama University (Okayama Univ.)
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Speaker Author-1 
Date Time 2017-01-19 15:20:00 
Presentation Time 25 minutes 
Registration for SIP 
Paper # IT2016-77, SIP2016-115, RCS2016-267 
Volume (vol) vol.116 
Number (no) no.394(IT), no.395(SIP), no.396(RCS) 
Page pp.183-188 
#Pages 6 
Date of Issue 2017-01-12 (IT, SIP, RCS) 

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