| Presentation | 2001/11/8 Classification of English Information Based on Association Rules Yukie YAMAMOTO, Hidetaka NAMBO, Haruhiko KIMURA, |
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| PDF Download Page | PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | Recently, because of the increased use of the Internet, people can get vast amounts of documents easily. To manage and reference such documents effectively, classification methods are required. Therefore, this paper proposes two methods as classification methods for English information. The one is the classification method using association rules. Association rules are one method used in data minimg, and used to get rules for classification in this paper. The other selects documents to better association rules. And we prove the effectiveness of proposed methods by experiment. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | data mining / association rules |
| Paper # | AI2001-38 |
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| Conference Information | |
| Committee | AI |
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| Conference Date | 2001/11/8(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 | 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) | Classification of English Information Based on Association Rules |
| Sub Title (in English) | |
| Keyword(1) | data mining |
| Keyword(2) | association rules |
| 1st Author's Name | Yukie YAMAMOTO |
| 1st Author's Affiliation | Division of Electronics and Computer Science, Graduate School of Nature Science and Technology, Kanazawa University() |
| 2nd Author's Name | Hidetaka NAMBO |
| 2nd Author's Affiliation | Division of Electronics and Computer Science, Graduate School of Nature Science and Technology, Kanazawa University |
| 3rd Author's Name | Haruhiko KIMURA |
| 3rd Author's Affiliation | Division of Electronics and Computer Science, Graduate School of Nature Science and Technology, Kanazawa University |
| Date | 2001/11/8 |
| Paper # | AI2001-38 |
| Volume (vol) | vol.101 |
| Number (no) | 419 |
| Page | pp.pp.- |
| #Pages | 6 |
| Date of Issue | |