| Presentation | 2005-12-16 A Circuit Design of Data-Mining Processor based on Rough Set Theory Masao OHKURA, Mitsuhiro MATSUMOTO, Akinori KANASUGI, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | This paper describes the architecture and circuit of rough set processor. The theory of rough sets has a lot of applications such as data mining, decision support system, machine learning and so on. The software tools are not powerful to solve the solutions of large problem in real time. However, no specific processor has been developed. Therefore, the authors have been developing a rough set processor. In this paper, the basic principle, architecture, circuit and USB interface between processor and host computer are described in detail. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Rough sets / Processor / Data-Mining |
| Paper # | NLP2005-93 |
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| Conference Information | |
| Committee | NLP |
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| Conference Date | 2005/12/9(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
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| Paper Information | |
| Registration To | Nonlinear Problems (NLP) |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | A Circuit Design of Data-Mining Processor based on Rough Set Theory |
| Sub Title (in English) | |
| Keyword(1) | Rough sets |
| Keyword(2) | Processor |
| Keyword(3) | Data-Mining |
| 1st Author's Name | Masao OHKURA |
| 1st Author's Affiliation | Faculty of Engineering, Tokyo Denki University() |
| 2nd Author's Name | Mitsuhiro MATSUMOTO |
| 2nd Author's Affiliation | Faculty of Engineering, Tokyo Denki University |
| 3rd Author's Name | Akinori KANASUGI |
| 3rd Author's Affiliation | Faculty of Engineering, Tokyo Denki University |
| Date | 2005-12-16 |
| Paper # | NLP2005-93 |
| Volume (vol) | vol.105 |
| Number (no) | 483 |
| Page | pp.pp.- |
| #Pages | 6 |
| Date of Issue | |