Presentation	1999/7/23 Performance evaluations of load balancing algorithms for mining generalized association rules Takahiko SHINTANI, Masaru KITSUREGAWA,
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Abstract(in English)	One of the most important problems in data mining is discovery of association rules in large database. We have proposed parallel algorithms and the candidate duplication based load balancing algorithms for mining generalized association rules with classification hierarchy. In this paper, we present the candidate partition based load balancing algorithm and examine the effectiveness of our algorithms on large scale PC cluster which consists of one hundred PCs interconnected by an ATM switch. Performance evaluations show that our load balancing algorithms are effective for handling skew on large scale parallel system.
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Paper #	DE99-67
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Committee	DE
Conference Date	1999/7/23(1days)
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Registration To	Data Engineering (DE)
Language	JPN
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Title (in English)	Performance evaluations of load balancing algorithms for mining generalized association rules
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1st Author's Name	Takahiko SHINTANI
1st Author's Affiliation	Institute of Industrial Science, The University of Tokyo()
2nd Author's Name	Masaru KITSUREGAWA
2nd Author's Affiliation	Institute of Industrial Science, The University of Tokyo
Date	1999/7/23
Paper #	DE99-67
Volume (vol)	vol.99
Number (no)	203
Page	pp.pp.-
#Pages	6
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