Presentation | 1997/12/3 Parallel Mining Algorithms for Generalized Association Rules with Classification Hierarchy and their Load Balancing Strategy Takahiko SHINTANI, Masaru KITSUREGAWA, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | Association rule mining recently attracted strong attention. Usually, the classification hierarchy over the data items is available. Users are interested in generalized association rules that span different levels of the hierarchy. In our previous study, we proposed parallel algorithms for mining generalized association rules with classification hierarchy and their load balancing methods. However, our previous works cannot attain sufficient load distributions. In this paper, we present new load balancing algorithms for parallel mining generalized association rules with classification hierarchy. We implemented these algorithms on a shared-nothing environment and evaluated the performance of our algorithms. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Data mining / Association rule / Classification hierarchy / Parallel algorithm / Load balancing |
Paper # | DE97-79 |
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Committee | DE |
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Conference Date | 1997/12/3(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) | Parallel Mining Algorithms for Generalized Association Rules with Classification Hierarchy and their Load Balancing Strategy |
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Keyword(1) | Data mining |
Keyword(2) | Association rule |
Keyword(3) | Classification hierarchy |
Keyword(4) | Parallel algorithm |
Keyword(5) | Load balancing |
1st Author's Name | Takahiko SHINTANI |
1st Author's Affiliation | Institute of Industrial Science, University of Tokyo() |
2nd Author's Name | Masaru KITSUREGAWA |
2nd Author's Affiliation | Institute of Industrial Science, University of Tokyo |
Date | 1997/12/3 |
Paper # | DE97-79 |
Volume (vol) | vol.97 |
Number (no) | 418 |
Page | pp.pp.- |
#Pages | 6 |
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