| Item type |
会議発表論文 / Conference Paper(1) |
| 公開日 |
2023-03-02 |
| タイトル |
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タイトル |
Rule Extraction by Genetic Programming with Clustered Terminal Symbols |
| 言語 |
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言語 |
eng |
| 資源タイプ |
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資源タイプ識別子 |
http://purl.org/coar/resource_type/c_5794 |
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資源タイプ |
conference paper |
| 著者 |
HARA, Akira
TANAKA, Haruko
ICHIMURA, Takumi
TAKAHAMA, Tetsuyuki
原, 章
市村, 匠
高濱, 徹行
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| 抄録 |
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内容記述タイプ |
Abstract |
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内容記述 |
When Genetic Programming (GP) is applied to rule extraction from databases, the attributes of the data are often used for the terminal symbols. However, in the case of the database with a large number of attributes, the search space becomes vast because the size of the terminal set increases. As a result, the search performance declines. For improving the search performance, we propose new methods for dealing with the large-scale terminal set. In the methods, the terminal symbols are clustered based on the similarities of the attributes. In the beginning of search, by reducing the number of terminal symbols, the rough and rapid search is performed. In the latter stage of search, by using the original attributes for terminal symbols, the local search is performed. By comparison with the conventional GP, the proposed methods showed the faster evolutional speed and extracted more accurate classification rules. |
| 内容記述 |
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内容記述タイプ |
Other |
|
内容記述 |
査読有り |
| 書誌情報 |
5th International Workshop on Computational Intelligence & Applications Proceedings ： IWCIA 2009
p. 290-295,
発行日 2009-11
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| 出版者 |
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出版者 |
IEEE SMC Hiroshima Chapter |
| ISSN |
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収録物識別子タイプ |
ISSN |
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収録物識別子 |
1883-3977 |
| 権利 |
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|
権利情報 |
©Copyright by IEEE SMC Hiroshima Chapter. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE |
| フォーマット |
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内容記述タイプ |
Other |
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内容記述 |
application/pdf |
| 著者版フラグ |
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出版タイプ |
VoR |
|
出版タイプResource |
http://purl.org/coar/version/c_970fb48d4fbd8a85 |
A1207.pdf (331.0 kB)
