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Paper Abstract and Keywords
Presentation 2019-11-21 11:20
A Silent Anomaly Detection Approach Using Machine Learning in Mobile Access Networks
Akihiro Shiozu, Masatomo Suzuki, Seiji Shibata, Yuichi Suwa (DOCOMO Technology,Inc.) ICM2019-21
Abstract (in Japanese) (See Japanese page) 
(in English) (Not available yet)
Keyword (in Japanese) (See Japanese page) 
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Reference Info. IEICE Tech. Rep., vol. 119, no. 299, ICM2019-21, pp. 1-6, Nov. 2019.
Paper # ICM2019-21 
Date of Issue 2019-11-14 (ICM) 
ISSN Online edition: ISSN 2432-6380
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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 NS ICM CQ NV  
Conference Date 2019-11-21 - 2019-11-22 
Place (in Japanese) (See Japanese page) 
Place (in English) Rokkodai 2nd Campus, Kobe Univ. 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Network quality, Network measurement/management, Network virtualization, Network service, Blockchain, Security, Network intelligence, etc. 
Paper Information
Registration To ICM 
Conference Code 2019-11-NS-ICM-CQ-NV 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) A Silent Anomaly Detection Approach Using Machine Learning in Mobile Access Networks 
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1st Author's Name Akihiro Shiozu  
1st Author's Affiliation DOCOMO Technology,Inc. (DOCOMO Technology,Inc.)
2nd Author's Name Masatomo Suzuki  
2nd Author's Affiliation DOCOMO Technology,Inc. (DOCOMO Technology,Inc.)
3rd Author's Name Seiji Shibata  
3rd Author's Affiliation DOCOMO Technology,Inc. (DOCOMO Technology,Inc.)
4th Author's Name Yuichi Suwa  
4th Author's Affiliation DOCOMO Technology,Inc. (DOCOMO Technology,Inc.)
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Date Time 2019-11-21 11:20:00 
Presentation Time 25 minutes 
Registration for ICM 
Paper # ICM2019-21 
Volume (vol) vol.119 
Number (no) no.299 
Page pp.1-6 
#Pages
Date of Issue 2019-11-14 (ICM) 


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