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 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.
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Keyword(in English) Data mining / Association rule / Classification hierarchy / Parallel algorithm / Load balancing
Paper # AI97-46
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Committee AI
Conference Date 1997/12/3(1days)
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Registration To Artificial Intelligence and Knowledge-Based Processing (AI)
Language JPN
Title (in Japanese) (See Japanese page)
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Title (in English) Parallel Mining Algorithms for Generalized Association Rules with Classification Hierarchy and their Load Balancing Strategy
Sub Title (in English)
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 # AI97-46
Volume (vol) vol.97
Number (no) 416
Page pp.pp.-
#Pages 6
Date of Issue