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| Presentation | 2022-05-20 14:00 Generating LTL formulas with Trace Examples Kota Komatsu, Hiroki Horita (Ibaraki Univ.)  KBSE2022-1 SWIM2022-1 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | In declarative process mining, a user can verify a desired property in a business process by providing an LTL formula with a correct description. However, it is difficult for many users to describe the properties they want to verify using mathematical notation based on LTL. Therefore, in this study, we use a method based on the satisfiability problem (SAT) and decision tree learning (DT) to verify whether temporal properties in business processes can be learned from general event log examples. The experimental results show the effectiveness of our method on general event logs and the characteristics of the learned properties. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Process Mining / Business Process / Satisfiability Problem / Decision Tree Learning / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 122, no. 38, KBSE2022-1, pp. 1-6, May 2022. | |
| Paper # | KBSE2022-1 | |
| Date of Issue | 2022-05-13 (KBSE, SWIM) | |
| 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 | KBSE2022-1 SWIM2022-1 |
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| Conference Information | |
| Committee | KBSE SWIM |
| Conference Date | 2022-05-20 - 2022-05-21 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Paper Information | |
| Registration To | KBSE |
| Conference Code | 2022-05-KBSE-SWIM |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Generating LTL formulas with Trace Examples |
| Sub Title (in English) | |
| Keyword(1) | Process Mining |
| Keyword(2) | Business Process |
| Keyword(3) | Satisfiability Problem |
| Keyword(4) | Decision Tree Learning |
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| 1st Author's Name | Kota Komatsu |
| 1st Author's Affiliation | Ibaraki University (Ibaraki Univ.) |
| 2nd Author's Name | Hiroki Horita |
| 2nd Author's Affiliation | Ibaraki University (Ibaraki Univ.) |
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| Speaker | Author-1 |
| Date Time | 2022-05-20 14:00:00 |
| Presentation Time | 30 minutes |
| Registration for | KBSE |
| Paper # | KBSE2022-1, SWIM2022-1 |
| Volume (vol) | vol.122 |
| Number (no) | no.38(KBSE), no.39(SWIM) |
| Page | pp.1-6 |
| #Pages | 6 |
| Date of Issue | 2022-05-13 (KBSE, SWIM) |
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