| Presentation | 1997/11/13 Generation of Default Rules Based on AIC Kazunori MATSUMOTO, Kazuo HASHIMOTO, |
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| PDF Download Page | PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | The method to generate default rules of causal relation is discribed. We extend the definition of association rules in order to deal with uncertain attribute values. New methods to filter out irrelevant rules based on AIC and how to construct Bayesian networks are proposed. Finally, a scheme of Causal Law Mining is proposed as an integration of techniques describe in the paper. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Default Logic / Causal Law / Data Mining / Akaike Information Criteria / Bayesian Networks |
| Paper # | AI97-27 |
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| Conference Information | |
| Committee | AI |
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| Conference Date | 1997/11/13(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
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| Vice Chair | |
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| Paper Information | |
| Registration To | Artificial Intelligence and Knowledge-Based Processing (AI) |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Generation of Default Rules Based on AIC |
| Sub Title (in English) | |
| Keyword(1) | Default Logic |
| Keyword(2) | Causal Law |
| Keyword(3) | Data Mining |
| Keyword(4) | Akaike Information Criteria |
| Keyword(5) | Bayesian Networks |
| 1st Author's Name | Kazunori MATSUMOTO |
| 1st Author's Affiliation | KDD Research and Development Laboratories() |
| 2nd Author's Name | Kazuo HASHIMOTO |
| 2nd Author's Affiliation | KDD Research and Development Laboratories |
| Date | 1997/11/13 |
| Paper # | AI97-27 |
| Volume (vol) | vol.97 |
| Number (no) | 373 |
| Page | pp.pp.- |
| #Pages | 6 |
| Date of Issue | |