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| Paper Abstract and Keywords | ||
| Presentation | 2020-03-16 12:20 Study of Event Escalation Judgement Technique Using Machine Learning for IT Ops -- Study of AI for ITOps -- Takashi Tameshige, Mineyoshi Masuda, Koichi Murayama (Hitachi)  SC2019-43 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | IT operators refer to the handling instruction when the abnormal event occurs and perform the work. Failure events that occur at a specific time period and at a low frequency often do not have a coping instruction. Using the machine learning model, we developed a technology to propose appropriate coping instructions to the IT operator at the time of failure event. Search for past events similar to new events the result of the development and application of event cataloging technology, which resulted in a significant reduction in retrieval time, we made a significant progress in automating abnormal event operation. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | IT Operator / IT Operation / abnormal event / machine learning / coping instructions / past events / Event Catalogue Technology / | |
| Reference Info. | IEICE Tech. Rep., vol. 119, no. 482, SC2019-43, pp. 53-58, March 2020. | |
| Paper # | SC2019-43 | |
| Date of Issue | 2020-03-09 (SC) | |
| 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 | SC2019-43 |
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| Conference Information | |
| Committee | SC |
| Conference Date | 2020-03-16 - 2020-03-16 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Online |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Machine Learning Systems Engineering and Service Computing, etc. |
| Paper Information | |
| Registration To | SC |
| Conference Code | 2020-03-SC |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Study of Event Escalation Judgement Technique Using Machine Learning for IT Ops |
| Sub Title (in English) | Study of AI for ITOps |
| Keyword(1) | IT Operator |
| Keyword(2) | IT Operation |
| Keyword(3) | abnormal event |
| Keyword(4) | machine learning |
| Keyword(5) | coping instructions |
| Keyword(6) | past events |
| Keyword(7) | Event Catalogue Technology |
| Keyword(8) | |
| 1st Author's Name | Takashi Tameshige |
| 1st Author's Affiliation | Hitachi Ltd. (Hitachi) |
| 2nd Author's Name | Mineyoshi Masuda |
| 2nd Author's Affiliation | Hitachi Ltd. (Hitachi) |
| 3rd Author's Name | Koichi Murayama |
| 3rd Author's Affiliation | Hitachi Ltd. (Hitachi) |
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| Speaker | Author-1 |
| Date Time | 2020-03-16 12:20:00 |
| Presentation Time | 20 minutes |
| Registration for | SC |
| Paper # | SC2019-43 |
| Volume (vol) | vol.119 |
| Number (no) | no.482 |
| Page | pp.53-58 |
| #Pages | 6 |
| Date of Issue | 2020-03-09 (SC) |
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