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Paper Abstract and Keywords
Presentation 2021-03-19 10:40
Study of Event Monitoring Technique Using Machine Learning for IT Operations -- Study of AI for IT Ops --
Takashi Tameshige, Yasuyuki Tamai, Mineyoshi Masuda, Koichi Murayama (Hitachi) SC2020-34
Abstract (in Japanese) (See Japanese page) 
(in English) In the normal event arrival confirmation which is an IT operator business, IT operator confirms that IT system is running normally with all the visual and double check. We developed a monitoring technology for IT events that utilized machine learning. Normal events have ample features that are covered by the training data because of the abundance of past events. We focused on the features and monitored all monitoring items using machine learning. This monitoring technology consists of a monitoring item extraction technique that calculates similarity of all monitoring items and extracts only the highest value, and pretreatment automation technology to remove noise from the message body. By applying this technology, we have improved the coverage of monitoring items and have been able to automate normal event monitoring operations.
Keyword (in Japanese) (See Japanese page) 
(in English) IT Operator / IT Operation / normal event / monitoring / machine learning / / /  
Reference Info. IEICE Tech. Rep., vol. 120, no. 434, SC2020-34, pp. 7-12, March 2021.
Paper # SC2020-34 
Date of Issue 2021-03-12 (SC) 
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)
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Conference Information
Committee SC  
Conference Date 2021-03-19 - 2021-03-19 
Place (in Japanese) (See Japanese page) 
Place (in English) Online 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To SC 
Conference Code 2021-03-SC 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Study of Event Monitoring Technique Using Machine Learning for IT Operations 
Sub Title (in English) Study of AI for IT Ops 
Keyword(1) IT Operator  
Keyword(2) IT Operation  
Keyword(3) normal event  
Keyword(4) monitoring  
Keyword(5) machine learning  
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1st Author's Name Takashi Tameshige  
1st Author's Affiliation Hitachi Ltd. (Hitachi)
2nd Author's Name Yasuyuki Tamai  
2nd Author's Affiliation Hitachi Ltd. (Hitachi)
3rd Author's Name Mineyoshi Masuda  
3rd Author's Affiliation Hitachi Ltd. (Hitachi)
4th Author's Name Koichi Murayama  
4th Author's Affiliation Hitachi Ltd. (Hitachi)
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Speaker Author-1 
Date Time 2021-03-19 10:40:00 
Presentation Time 30 minutes 
Registration for SC 
Paper # SC2020-34 
Volume (vol) vol.120 
Number (no) no.434 
Page pp.7-12 
#Pages
Date of Issue 2021-03-12 (SC) 


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