Presentation | 2006-07-14 Ratio Rule Mining Based on Locality Masafumi HAMAMOTO, Hiroyuki KITAGAWA, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | This paper examines a Ratio Rule mining problem based on support and confidence factors. Ratio Rules are linear relationships in numeric attributes applicable to understanding data, filling missing attribute values, and related issues. In our previous work, we have formulated Ratio Rules as it relates to association rule mining, and introduced Ratio Rule mining algorithms. Ratio Rules considered there are "Global" ones. In this paper, we formulate "Local" Ratio Rules, which have locality concept that Global ones do not have, and propose a method to extract Local Ratio Rules. We show appropriateness of our proposed method using synthetic and real data. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Ratio Rules / Linear Relationships / Clustering / Data Mining |
Paper # | DE2006-96 |
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Committee | DE |
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Conference Date | 2006/7/7(1days) |
Place (in Japanese) | (See Japanese page) |
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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) | Ratio Rule Mining Based on Locality |
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Keyword(1) | Ratio Rules |
Keyword(2) | Linear Relationships |
Keyword(3) | Clustering |
Keyword(4) | Data Mining |
1st Author's Name | Masafumi HAMAMOTO |
1st Author's Affiliation | Graduate School of Systems and Information Engineering, University of Tsukuba() |
2nd Author's Name | Hiroyuki KITAGAWA |
2nd Author's Affiliation | Graduate School of Systems and Information Engineering, University of Tsukuba:Center for Computational Sciences, University of Tsukuba |
Date | 2006-07-14 |
Paper # | DE2006-96 |
Volume (vol) | vol.106 |
Number (no) | 150 |
Page | pp.pp.- |
#Pages | 6 |
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