| Presentation | 2004/11/30 A Framework For Knowledge Discovery in Multivalued Tables Using Rough Set Approach(Artificial Intelligence III)(Joint Workshop of Vietnamese Society of AI, SIGKBS-JSAI, ICS-IPSJ, and IEICE-SIGAI on Active Mining) NGUYEN THANH THUY, NGUYEN NGOC HIEU, |
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| PDF Download Page | PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | In data mining area, researchers have proposed methods to discover decision rules that are based on rough set approach. Most of these methods do not have ability to handle multivalued information systems, though this type of information systems appears frequently in practical problems. In this paper, we propose an approach based on rough set to handle multivalued information systems. With the model designed from this approach, we propose two algorithms to discover minimal decision rules from multivalued information systems. In addition, we make a comparison between this method and other classical ones. |
| Keyword(in Japanese) | (See Japanese page) |
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| Paper # | AI2004-58 |
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| Committee | AI |
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| Conference Date | 2004/11/30(1days) |
| Place (in Japanese) | (See Japanese page) |
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| Topics (in Japanese) | (See Japanese page) |
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| Registration To | Artificial Intelligence and Knowledge-Based Processing (AI) |
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| Language | ENG |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | A Framework For Knowledge Discovery in Multivalued Tables Using Rough Set Approach(Artificial Intelligence III)(Joint Workshop of Vietnamese Society of AI, SIGKBS-JSAI, ICS-IPSJ, and IEICE-SIGAI on Active Mining) |
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| 1st Author's Name | NGUYEN THANH THUY |
| 1st Author's Affiliation | Faculty of Information Technology, Hanoi University of Technology() |
| 2nd Author's Name | NGUYEN NGOC HIEU |
| 2nd Author's Affiliation | Faculty of Information Technology, Vinh University |
| Date | 2004/11/30 |
| Paper # | AI2004-58 |
| Volume (vol) | vol.104 |
| Number (no) | 488 |
| Page | pp.pp.- |
| #Pages | 6 |
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