| Paper Abstract and Keywords |
| Presentation |
2023-03-13 10:25
Estimation method of difficulty of cases and proficiency of persons in charge of cases using amount of work until completion of each case Akinori Miyamoto, Susumu Ogata, Akira Karasudani (Fujitsu) LOIS2022-45 |
| Abstract |
(in Japanese) |
(See Japanese page) |
| (in English) |
The automation of business using information technology is being developed. However, in business that cannot be fully automated, such as nonstandard business, judgments made by persons are still important. Therefore, in addition to automation of business, expectations are growing for technology that improves the proficiency of the person in charge of the business using information technology. In this paper, a new method was proposed to estimate proficiency of persons and difficulty of processing cases by using business processing data. Effectiveness of the method by dividing the cases into groups and modeling a relationship between amout of work and proficiency was verified by simulation that generates item data with features and effort supposing actual business cases. |
| Keyword |
(in Japanese) |
(See Japanese page) |
| (in English) |
proficiency / ability measurement / decision tree / clustering / nonlinear optimization / / / |
| Reference Info. |
IEICE Tech. Rep., vol. 122, no. 423, LOIS2022-45, pp. 5-10, March 2023. |
| Paper # |
LOIS2022-45 |
| Date of Issue |
2023-03-06 (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 |
LOIS2022-45 |
| Conference Information |
| Committee |
LOIS |
| Conference Date |
2023-03-13 - 2023-03-14 |
| Place (in Japanese) |
(See Japanese page) |
| Place (in English) |
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| Topics (in Japanese) |
(See Japanese page) |
| Topics (in English) |
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| Paper Information |
| Registration To |
LOIS |
| Conference Code |
2023-03-LOIS |
| Language |
Japanese |
| Title (in Japanese) |
(See Japanese page) |
| Sub Title (in Japanese) |
(See Japanese page) |
| Title (in English) |
Estimation method of difficulty of cases and proficiency of persons in charge of cases using amount of work until completion of each case |
| Sub Title (in English) |
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| Keyword(1) |
proficiency |
| Keyword(2) |
ability measurement |
| Keyword(3) |
decision tree |
| Keyword(4) |
clustering |
| Keyword(5) |
nonlinear optimization |
| Keyword(6) |
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| Keyword(7) |
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| Keyword(8) |
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| 1st Author's Name |
Akinori Miyamoto |
| 1st Author's Affiliation |
Fujitsu Ltd. (Fujitsu) |
| 2nd Author's Name |
Susumu Ogata |
| 2nd Author's Affiliation |
Fujitsu Ltd. (Fujitsu) |
| 3rd Author's Name |
Akira Karasudani |
| 3rd Author's Affiliation |
Fujitsu Ltd. (Fujitsu) |
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| Speaker |
Author-1 |
| Date Time |
2023-03-13 10:25:00 |
| Presentation Time |
25 minutes |
| Registration for |
LOIS |
| Paper # |
LOIS2022-45 |
| Volume (vol) |
vol.122 |
| Number (no) |
no.423 |
| Page |
pp.5-10 |
| #Pages |
6 |
| Date of Issue |
2023-03-06 (LOIS) |