| Paper Abstract and Keywords |
| Presentation |
2012-08-31 10:00
A study on extraction of related terms and their visualization from trouble incident reports Osamu Segawa (CEPCO), Kazuhiko Murakami, Munehiro Furusato (Chuden CTI) NLC2012-17 |
| Abstract |
(in Japanese) |
(See Japanese page) |
| (in English) |
We have developed a analysis method for trouble incident reports on our intra-system using text mining technique. These reports contain two records (texts), namely, “incident description” and “trouble shooting”, and it is important to find the relationship between these two records. Therefore, in this paper, the following methods are examined: (1) We generate a bipartite-graph from co-occurrence of words in the two records, and evaluate the relationship of keywords. (2) In addition to the above, we consider a method that reflects the semantic relations (causal analysis) to the co-occurrence. As a result, in the method (2), a part of relationship (correlation or causal relation) of keywords are obtained, and the proposed method would be effective for trouble incident analysis. |
| Keyword |
(in Japanese) |
(See Japanese page) |
| (in English) |
Text Mining / Trouble Analysis / Graph Mining / Causal Analysis / Visualization / / / |
| Reference Info. |
IEICE Tech. Rep., vol. 112, no. 196, NLC2012-17, pp. 41-44, Aug. 2012. |
| Paper # |
NLC2012-17 |
| Date of Issue |
2012-08-23 (NLC) |
| ISSN |
Print edition: ISSN 0913-5685 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 |
NLC2012-17 |
| Conference Information |
| Committee |
NLC |
| Conference Date |
2012-08-30 - 2012-08-31 |
| Place (in Japanese) |
(See Japanese page) |
| Place (in English) |
Fuji Xerox |
| Topics (in Japanese) |
(See Japanese page) |
| Topics (in English) |
The Second Symposium on Text Mining |
| Paper Information |
| Registration To |
NLC |
| Conference Code |
2012-08-NLC |
| Language |
Japanese |
| Title (in Japanese) |
(See Japanese page) |
| Sub Title (in Japanese) |
(See Japanese page) |
| Title (in English) |
A study on extraction of related terms and their visualization from trouble incident reports |
| Sub Title (in English) |
|
| Keyword(1) |
Text Mining |
| Keyword(2) |
Trouble Analysis |
| Keyword(3) |
Graph Mining |
| Keyword(4) |
Causal Analysis |
| Keyword(5) |
Visualization |
| Keyword(6) |
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| Keyword(7) |
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| Keyword(8) |
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| 1st Author's Name |
Osamu Segawa |
| 1st Author's Affiliation |
Chubu Electric Power, Co., Inc. (CEPCO) |
| 2nd Author's Name |
Kazuhiko Murakami |
| 2nd Author's Affiliation |
Chuden CTI Co, Ltd. (Chuden CTI) |
| 3rd Author's Name |
Munehiro Furusato |
| 3rd Author's Affiliation |
Chuden CTI Co, Ltd. (Chuden CTI) |
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| Speaker |
Author-1 |
| Date Time |
2012-08-31 10:00:00 |
| Presentation Time |
30 minutes |
| Registration for |
NLC |
| Paper # |
NLC2012-17 |
| Volume (vol) |
vol.112 |
| Number (no) |
no.196 |
| Page |
pp.41-44 |
| #Pages |
4 |
| Date of Issue |
2012-08-23 (NLC) |