| Presentation | 1999/7/23 Discovering Behaviour Based on Inductive Classification TAKAO MIURA, ISAMU SHIOYA, |
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| PDF Download Page | PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | In this investigation, we propose a classification methodology to transition behavior based on machine learning techniques. We suppose Markovian property against temporal information, then we can show stationary schemes by calculating limit values of transition probability. |
| Keyword(in Japanese) | (See Japanese page) |
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| Paper # | DE99-70 |
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| Conference Information | |
| Committee | DE |
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| Conference Date | 1999/7/23(1days) |
| Place (in Japanese) | (See Japanese page) |
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| Topics (in Japanese) | (See Japanese page) |
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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) | Discovering Behaviour Based on Inductive Classification |
| Sub Title (in English) | |
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| 1st Author's Name | TAKAO MIURA |
| 1st Author's Affiliation | Hosei Univerity() |
| 2nd Author's Name | ISAMU SHIOYA |
| 2nd Author's Affiliation | SANNO College |
| Date | 1999/7/23 |
| Paper # | DE99-70 |
| Volume (vol) | vol.99 |
| Number (no) | 203 |
| Page | pp.pp.- |
| #Pages | 6 |
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