IEICE Technical Committee Submission System
Conference Paper's Information
Online Proceedings
[Sign in]
Tech. Rep. Archives
 Go Top Page Go Previous   [Japanese] / [English] 

Paper Abstract and Keywords
Presentation 2022-05-20 14:00
Generating LTL formulas with Trace Examples
Kota Komatsu, Hiroki Horita (Ibaraki Univ.) KBSE2022-1 SWIM2022-1
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
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

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  
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.)
3rd Author's Name  
3rd Author's Affiliation ()
4th Author's Name  
4th Author's Affiliation ()
5th Author's Name  
5th Author's Affiliation ()
6th Author's Name  
6th Author's Affiliation ()
7th Author's Name  
7th Author's Affiliation ()
8th Author's Name  
8th Author's Affiliation ()
9th Author's Name  
9th Author's Affiliation ()
10th Author's Name  
10th Author's Affiliation ()
11th Author's Name  
11th Author's Affiliation ()
12th Author's Name  
12th Author's Affiliation ()
13th Author's Name  
13th Author's Affiliation ()
14th Author's Name  
14th Author's Affiliation ()
15th Author's Name  
15th Author's Affiliation ()
16th Author's Name  
16th Author's Affiliation ()
17th Author's Name  
17th Author's Affiliation ()
18th Author's Name  
18th Author's Affiliation ()
19th Author's Name  
19th Author's Affiliation ()
20th Author's Name  
20th Author's Affiliation ()
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 
Date of Issue 2022-05-13 (KBSE, SWIM) 

[Return to Top Page]

[Return to IEICE Web Page]

The Institute of Electronics, Information and Communication Engineers (IEICE), Japan