Paper Abstract and Keywords |
Presentation |
2020-11-26 11:20
A Study of Business Task Classification Method for UI Logs Using Business Operational Manuals Yuki Urabe, Shiro Ogasawara, Kimio Tsuchikawa, Sayaka Yagi, Haruo Oishi (NTT) ICM2020-22 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
Understanding the actual business operations is highly important to realize effective performance improvement. One of the ways to understand business operations is to visualize the software usage from UI log collected from workers' PC. Although understanding the actual workload by business tasks is important to determine which task to improve from, some software is used in various business operations, therefore, it is impossible to grasp the workload per business tasks just from the software usage. Moreover, collecting UI logs to use as training data is not only time-consuming but also difficult to collect a variety of activities because analyzers do not always know workers’ activities thoroughly. In this paper, we propose a method that classifies UI log to business tasks by utilizing the content written in business operation manuals. We evaluated our method by using real-world data and manuals and reported the results and problems of our proposed method. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
UI log / business operation manual / business task classification / business operations improvement / / / / |
Reference Info. |
IEICE Tech. Rep., vol. 120, no. 259, ICM2020-22, pp. 23-28, Nov. 2020. |
Paper # |
ICM2020-22 |
Date of Issue |
2020-11-19 (ICM) |
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) |
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ICM2020-22 |
Conference Information |
Committee |
NS ICM CQ NV |
Conference Date |
2020-11-26 - 2020-11-27 |
Place (in Japanese) |
(See Japanese page) |
Place (in English) |
Online |
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 |
2020-11-NS-ICM-CQ-NV |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
A Study of Business Task Classification Method for UI Logs Using Business Operational Manuals |
Sub Title (in English) |
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Keyword(1) |
UI log |
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business operation manual |
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business task classification |
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business operations improvement |
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1st Author's Name |
Yuki Urabe |
1st Author's Affiliation |
NTT Access Network Service Systems Laboratories (NTT) |
2nd Author's Name |
Shiro Ogasawara |
2nd Author's Affiliation |
NTT Access Network Service Systems Laboratories (NTT) |
3rd Author's Name |
Kimio Tsuchikawa |
3rd Author's Affiliation |
NTT Access Network Service Systems Laboratories (NTT) |
4th Author's Name |
Sayaka Yagi |
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NTT Access Network Service Systems Laboratories (NTT) |
5th Author's Name |
Haruo Oishi |
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NTT Access Network Service Systems Laboratories (NTT) |
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Speaker |
Author-1 |
Date Time |
2020-11-26 11:20:00 |
Presentation Time |
25 minutes |
Registration for |
ICM |
Paper # |
ICM2020-22 |
Volume (vol) |
vol.120 |
Number (no) |
no.259 |
Page |
pp.23-28 |
#Pages |
6 |
Date of Issue |
2020-11-19 (ICM) |
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