Presentation | 1997/12/3 Association Rule Filter 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 filter out irrelevant association rules is proposed. The proposed method based on AIC verifies (1) dependency between the body and the head in a target rule, and (2) dependency between additional part in the body and the head in a target rule. We applied the proposed filterling method for a huge amount of data generated by a simulator. All irrelevant rules can be filtered out in our examination. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Data Mining / Association Rules / Akaike Information Criteria |
Paper # | DE97-78 |
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Conference Information | |
Committee | DE |
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Conference Date | 1997/12/3(1days) |
Place (in Japanese) | (See Japanese page) |
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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) | Association Rule Filter Based on AIC |
Sub Title (in English) | |
Keyword(1) | Data Mining |
Keyword(2) | Association Rules |
Keyword(3) | Akaike Information Criteria |
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 | 1997/12/3 |
Paper # | DE97-78 |
Volume (vol) | vol.97 |
Number (no) | 418 |
Page | pp.pp.- |
#Pages | 6 |
Date of Issue |