Presentation | 2003/6/19 A classification rule extraction method based on nonlinear structure Arata SATO, Hitoshi SAKANO, Tsutomu MATSUNAGA, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | The one of the main issue of bioinfomatics is to clarify risk factor of disease. We focus the case-control study is regarded as feature selection problem in field of patern recognition. From the standpoint, we propose new nonlinear discriminant analysis and feature selection medhod as novel clasification rule extraction methods. We show the effectiveness of our method thorough the experimental resuluts. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | datamining / rule extraction / non linear structure / bioinfomatics |
Paper # | PRMU2003-34 |
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Conference Information | |
Committee | PRMU |
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Conference Date | 2003/6/19(1days) |
Place (in Japanese) | (See Japanese page) |
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Paper Information | |
Registration To | Pattern Recognition and Media Understanding (PRMU) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | A classification rule extraction method based on nonlinear structure |
Sub Title (in English) | |
Keyword(1) | datamining |
Keyword(2) | rule extraction |
Keyword(3) | non linear structure |
Keyword(4) | bioinfomatics |
1st Author's Name | Arata SATO |
1st Author's Affiliation | NTT Data Corporation() |
2nd Author's Name | Hitoshi SAKANO |
2nd Author's Affiliation | NTT Data Corporation |
3rd Author's Name | Tsutomu MATSUNAGA |
3rd Author's Affiliation | NTT Data Corporation |
Date | 2003/6/19 |
Paper # | PRMU2003-34 |
Volume (vol) | vol.103 |
Number (no) | 150 |
Page | pp.pp.- |
#Pages | 4 |
Date of Issue |