| Presentation | 2005-07-14 Data Analysis Method for Extracting Multiple Ratio Rules Masafumi HAMAMOTO, Hiroyuki KITAGAWA, Christos FALOUTSOS, |
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| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | Ratio Rules are correlation among attribute values, and are applicable to data analysis, value estimation, and so on. Many Ratio Rules are generally included in data; we call them Multiple Ratio Rules. To extract each Ratio Rule in Multiple Ratio Rules, we consider the Apriori property for Ratio Rules. This enables us to extract any Ratio Rules by using two dimentional Ratio Rules. To extract two dimentional Ratio Rules, we divide tuples into small areas called buckets and extract Ratio Rules from the histogram, the number of tuples in buckets. We examine our proposed method using synthetic data and validate its usefulness. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Ratio Rule / Apriori property / Data Mining |
| Paper # | DE2005-71 |
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| Committee | DE |
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| Conference Date | 2005/7/7(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (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) | Data Analysis Method for Extracting Multiple Ratio Rules |
| Sub Title (in English) | |
| Keyword(1) | Ratio Rule |
| Keyword(2) | Apriori property |
| Keyword(3) | 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 |
| 3rd Author's Name | Christos FALOUTSOS |
| 3rd Author's Affiliation | Carnegie Mellon University |
| Date | 2005-07-14 |
| Paper # | DE2005-71 |
| Volume (vol) | vol.105 |
| Number (no) | 172 |
| Page | pp.pp.- |
| #Pages | 6 |
| Date of Issue | |