Information: Join today and make your research activities more affordable! Technical workshop participation fees and annual registration fees are available at member rates.
Notice: [Important] Announcement of Changes to Registration Fee Payment and Manuscript Upload Procedures for IEICE Technical Meetings
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 2022-03-28 09:40
Prediction of Traffic Accidents using Formal Concept Analysis with Actual Data
Shogo Kotani, Yuta Asanuma, Masaki Nakamura, Kazutoshi Sakakibara, Tatsuro Motoyoshi, Keisuke Hoshikawa (Toyama Pref. Univ.) MSS2021-56 NLP2021-127
Abstract (in Japanese) (See Japanese page) 
(in English) The purpose of this study is for preventing future traffic accidents by past ones to analyze traffic accident data based on Formal Concept Analysis. Formal Concept Analysis is a method to assist analysis and consideration by organizing the data in natural or social phenomenon as implication rules and association rules. Binary table is necessary to apply the method in traffic accident data. Therefore, we binaries data such as each detailed accident contents, accident-related data and accident-explained sentences. We consider a method to elucidate traffic accident factors by statistical analysis of extracted rules from Formal Concept Analysis.
Keyword (in Japanese) (See Japanese page) 
(in English) Traffic Accidents / Formal Concept Analysis / / / / / /  
Reference Info. IEICE Tech. Rep., vol. 121, no. 443, MSS2021-56, pp. 7-12, March 2022.
Paper # MSS2021-56 
Date of Issue 2022-03-21 (MSS, NLP) 
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 MSS2021-56 NLP2021-127

Conference Information
Committee MSS NLP  
Conference Date 2022-03-28 - 2022-03-29 
Place (in Japanese) (See Japanese page) 
Place (in English) Online 
Topics (in Japanese) (See Japanese page) 
Topics (in English) MSS, NLP, Work In Progress (MSS only), and etc. 
Paper Information
Registration To MSS 
Conference Code 2022-03-MSS-NLP 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Prediction of Traffic Accidents using Formal Concept Analysis with Actual Data 
Sub Title (in English)  
Keyword(1) Traffic Accidents  
Keyword(2) Formal Concept Analysis  
Keyword(3)  
Keyword(4)  
Keyword(5)  
Keyword(6)  
Keyword(7)  
Keyword(8)  
1st Author's Name Shogo Kotani  
1st Author's Affiliation Toyama Prefectural University (Toyama Pref. Univ.)
2nd Author's Name Yuta Asanuma  
2nd Author's Affiliation Toyama Prefectural University (Toyama Pref. Univ.)
3rd Author's Name Masaki Nakamura  
3rd Author's Affiliation Toyama Prefectural University (Toyama Pref. Univ.)
4th Author's Name Kazutoshi Sakakibara  
4th Author's Affiliation Toyama Prefectural University (Toyama Pref. Univ.)
5th Author's Name Tatsuro Motoyoshi  
5th Author's Affiliation Toyama Prefectural University (Toyama Pref. Univ.)
6th Author's Name Keisuke Hoshikawa  
6th Author's Affiliation Toyama Prefectural University (Toyama Pref. Univ.)
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 ()
21st Author's Name  
21st Author's Affiliation ()
22nd Author's Name  
22nd Author's Affiliation ()
23rd Author's Name  
23rd Author's Affiliation ()
24th Author's Name  
24th Author's Affiliation ()
25th Author's Name  
25th Author's Affiliation ()
26th Author's Name / /
26th Author's Affiliation ()
()
27th Author's Name / /
27th Author's Affiliation ()
()
28th Author's Name / /
28th Author's Affiliation ()
()
29th Author's Name / /
29th Author's Affiliation ()
()
30th Author's Name / /
30th Author's Affiliation ()
()
31st Author's Name / /
31st Author's Affiliation ()
()
32nd Author's Name / /
32nd Author's Affiliation ()
()
33rd Author's Name / /
33rd Author's Affiliation ()
()
34th Author's Name / /
34th Author's Affiliation ()
()
35th Author's Name / /
35th Author's Affiliation ()
()
36th Author's Name / /
36th Author's Affiliation ()
()
Speaker Author-1 
Date Time 2022-03-28 09:40:00 
Presentation Time 25 minutes 
Registration for MSS 
Paper # MSS2021-56, NLP2021-127 
Volume (vol) vol.121 
Number (no) no.443(MSS), no.444(NLP) 
Page pp.7-12 
#Pages 6 
Date of Issue 2022-03-21 (MSS, NLP) 

[Return to Top Page]

[Return to IEICE Web Page]
The Institute of Electronics, Information and Communication Engineers (IEICE), Japan