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Paper Abstract and Keywords
Presentation 2022-01-28 11:00
[Invited Talk] Structure of time-series motifs and its time evolution
Makoto Imamura (Tokai Univ.) ICM2021-41 LOIS2021-39
Abstract (in Japanese) (See Japanese page) 
(in English) Time series motifs are one of the fundamental tools to represent stereotyped repeated subsequences that reflect the conserved behaviors in machine operations, human motions and economic activities. This lecture describes spikelet and time series chains as recent topics in time series motifs. Spikelet is an adaptive symbolic approximation for finding higher-level structure in time Series. Time series chain is a tool to represent the evolving patterns that are associated with the degradation of machines or the change of patient's condition.
Keyword (in Japanese) (See Japanese page) 
(in English) Time Series Datamining / Motif / Time Series Chains / Predictive Maintenance / Motion Analysis / / /  
Reference Info. IEICE Tech. Rep., vol. 121, no. 354, ICM2021-41, pp. 46-50, Jan. 2022.
Paper # ICM2021-41 
Date of Issue 2022-01-20 (ICM, LOIS) 
ISSN 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 ICM2021-41 LOIS2021-39

Conference Information
Committee LOIS ICM  
Conference Date 2022-01-27 - 2022-01-28 
Place (in Japanese) (See Japanese page) 
Place (in English) Online 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Practical Use of Lifelog, Office Information System, Business Management, etc. 
Paper Information
Registration To ICM 
Conference Code 2022-01-LOIS-ICM 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Structure of time-series motifs and its time evolution 
Sub Title (in English)  
Keyword(1) Time Series Datamining  
Keyword(2) Motif  
Keyword(3) Time Series Chains  
Keyword(4) Predictive Maintenance  
Keyword(5) Motion Analysis  
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1st Author's Name Makoto Imamura  
1st Author's Affiliation Tokai University (Tokai Univ.)
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Speaker Author-1 
Date Time 2022-01-28 11:00:00 
Presentation Time 45 minutes 
Registration for ICM 
Paper # ICM2021-41, LOIS2021-39 
Volume (vol) vol.121 
Number (no) no.354(ICM), no.355(LOIS) 
Page pp.46-50 
#Pages 5 
Date of Issue 2022-01-20 (ICM, LOIS) 

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