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| Presentation | 2018-03-14 13:25 Application of Tree based Model to a Model for Data Generation and Verification of Induced Rules and its Considerations Shoya Kawaguchi, Yuichi Kato (Shimane Univ.), Tetsuro Saeki (Yamaguchi Univ.)  MSS2017-92 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | A conventional tree based method is a statistical method of constructing a classification model while recursively dividing a dataset based on explanatory variables relating to their response variable with some criteria for the response variable. Finally, this tree structure induces a lot of if-then rules with production forms. On the other hand, we proposed an if-then rule induction method based on STRIM (Statistical Test Rule Induction Method) which statistically interpreted the classical rough set theory, and studied the validity of STRIM based on a simulation model for data generation and verification of induced rules and the differences and/or relationships between the rule induction performances by the classical and STRIM. In this paper, the CART (Classification And Regression Trees) method which is a basic method of the tree based method is also studied based on the simulation model and its performance and problems are clarified by comparing with those of STRIM. Furthermore, both methods are applied to a real-world dataset and their performances and comparisons are considered in line with the results of the simulation. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | CART method / Rough Sets / if-then rule / Impurity / STRIM Algorithm / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 117, no. 506, MSS2017-92, pp. 77-82, March 2018. | |
| Paper # | MSS2017-92 | |
| Date of Issue | 2018-03-05 (MSS) | |
| 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 | MSS2017-92 |
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| Conference Information | |
| Committee | MSS NLP |
| Conference Date | 2018-03-12 - 2018-03-14 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Paper Information | |
| Registration To | MSS |
| Conference Code | 2018-03-MSS-NLP |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Application of Tree based Model to a Model for Data Generation and Verification of Induced Rules and its Considerations |
| Sub Title (in English) | |
| Keyword(1) | CART method |
| Keyword(2) | Rough Sets |
| Keyword(3) | if-then rule |
| Keyword(4) | Impurity |
| Keyword(5) | STRIM Algorithm |
| Keyword(6) | |
| Keyword(7) | |
| Keyword(8) | |
| 1st Author's Name | Shoya Kawaguchi |
| 1st Author's Affiliation | Shimane University (Shimane Univ.) |
| 2nd Author's Name | Yuichi Kato |
| 2nd Author's Affiliation | Shimane University (Shimane Univ.) |
| 3rd Author's Name | Tetsuro Saeki |
| 3rd Author's Affiliation | Yamaguchi University (Yamaguchi Univ.) |
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| Speaker | Author-1 |
| Date Time | 2018-03-14 13:25:00 |
| Presentation Time | 25 minutes |
| Registration for | MSS |
| Paper # | MSS2017-92 |
| Volume (vol) | vol.117 |
| Number (no) | no.506 |
| Page | pp.77-82 |
| #Pages | 6 |
| Date of Issue | 2018-03-05 (MSS) |
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