| Presentation | 1998/10/14 Knowledge Discovery in Clinical Databases : Multistrategic Data Mining using Machine Learning and Statistics Shusaku Tsumoto, |
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| PDF Download Page | PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | The main difference between empirical learning methods and KDD methods is that the latter approaches support discovery of knowledge in databases whereas the former ones focus on extraction of accurate knowledge from databases. Therefore, for application of KDD methods, domain experts'interpretation of induced results is crucial. However, conventional approaches do not focus on this issue clearly. In this special session, several KDD methods are compared by using a common database and the induced results are interpreted by medical experts, which enables us to characterize KDD methods more concretely and to show the importance of interaction between KDD researchers and domain experts. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Knowledge Discovery / Data Mining / Machine Learning / Intelligent Data Analysis / Rough Sets |
| Paper # | DE98-22 |
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| Conference Information | |
| Committee | DE |
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| Conference Date | 1998/10/14(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
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| Paper Information | |
| Registration To | Data Engineering (DE) |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Knowledge Discovery in Clinical Databases : Multistrategic Data Mining using Machine Learning and Statistics |
| Sub Title (in English) | |
| Keyword(1) | Knowledge Discovery |
| Keyword(2) | Data Mining |
| Keyword(3) | Machine Learning |
| Keyword(4) | Intelligent Data Analysis |
| Keyword(5) | Rough Sets |
| 1st Author's Name | Shusaku Tsumoto |
| 1st Author's Affiliation | Department of Information Medicine, Medical Research Institute, Tokyo Medical and Dental University() |
| Date | 1998/10/14 |
| Paper # | DE98-22 |
| Volume (vol) | vol.98 |
| Number (no) | 316 |
| Page | pp.pp.- |
| #Pages | 6 |
| Date of Issue | |