| Presentation | 1997/12/3 On Discovery of Association Rules for Text Retrieval Kazuo HASHIMOTO, Kazunori MATSUMOTO, |
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| PDF Download Page | PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | The paper studies the heuristics to find a set of keywords from a set of documents. First, the notion of minimum certainty was introduced to filter out unreliable item sets under the assumption that word occurrence in a document is assumed to be a Poisson process. The estimate of error is considered for two main parameters, support and confidence, to control the KDD process. Finally, the algorithm is described to integrate all the criteria for association rule filtering. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Knowledge Discovery in Database / discovery of association rules / text retrieval |
| Paper # | DE97-80 |
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| Conference Information | |
| Committee | DE |
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| Conference Date | 1997/12/3(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| 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) | On Discovery of Association Rules for Text Retrieval |
| Sub Title (in English) | |
| Keyword(1) | Knowledge Discovery in Database |
| Keyword(2) | discovery of association rules |
| Keyword(3) | text retrieval |
| 1st Author's Name | Kazuo HASHIMOTO |
| 1st Author's Affiliation | KDD R&D Laboratories() |
| 2nd Author's Name | Kazunori MATSUMOTO |
| 2nd Author's Affiliation | KDD R&D Laboratories |
| Date | 1997/12/3 |
| Paper # | DE97-80 |
| Volume (vol) | vol.97 |
| Number (no) | 418 |
| Page | pp.pp.- |
| #Pages | 6 |
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