| Item type |
デフォルトアイテムタイプ_（フル）(1) |
| 公開日 |
2023-03-18 |
| タイトル |
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|
タイトル |
Rule Extraction by Genetic Programming with Clustered Terminal Symbols |
|
言語 |
en |
| 作成者 |
Hara, Akira
Tanaka, Haruko
Ichimura, Takumi
Takahama, Tetsuyuki
|
| アクセス権 |
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|
アクセス権 |
open access |
|
アクセス権URI |
http://purl.org/coar/access_right/c_abf2 |
| 権利情報 |
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|
権利情報 |
(c) Copyright by IEEE SMC Hiroshima Chapter. |
| 主題 |
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|
主題Scheme |
NDC |
|
主題 |
500 |
| 内容記述 |
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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. |
|
言語 |
en |
| 出版者 |
|
|
出版者 |
IEEE SMC Hiroshima Chapter |
| 言語 |
|
|
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 |
|
資源タイプ |
conference paper |
| 出版タイプ |
|
|
出版タイプ |
VoR |
|
出版タイプResource |
http://purl.org/coar/version/c_970fb48d4fbd8a85 |
| 関連情報 |
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|
識別子タイプ |
URI |
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|
関連識別子 |
http://www.hil.hiroshima-u.ac.jp/iwcia/2009/ |
| 収録物識別子 |
|
|
収録物識別子タイプ |
ISSN |
|
収録物識別子 |
1883-3977 |
| 開始ページ |
|
|
開始ページ |
290 |
| 書誌情報 |
5th International Workshop on Computational Intelligence & Applications Proceedings : IWCIA 2009
5th International Workshop on Computational Intelligence & Applications Proceedings : IWCIA 2009
p. 290-295,
発行日 2009-11
|
| 旧ID |
28459 |
A1207.pdf (337.8 KB)
