Presentation 1999/1/23
Parallel SQL Based Association Rule Mining on Large Scale PC Cluster : Performance Comparison with Directly Coded C Implementation
Iko Pramudiono, Takahiko Shintani, Takayuki Tamura, Masaru Kitsuregawa,
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Abstract(in English) Data mining is becoming increasingly important since the size of databases grows even larger and the need to explore hidden rules from the databases become widely recognized.Currently database systems dominated by relational database and the ability to perform data mining using standard SQL query will definitely ease implementation of data mining.However SQL based data mining performance is known to fall behind specialized implementation.In this paper we presented an evaluation of data mining based on parallel SQL on large scale PC cluster. For flat association rule mining, parallelizing SQL query using 4 processing nodes the performance is even with C based program while in case of generalized association rule with taxonomy, we achieve comparable result with 6-8 processing nodes.
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Paper # DE98-56
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Committee DE
Conference Date 1999/1/23(1days)
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Registration To Data Engineering (DE)
Language JPN
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Title (in English) Parallel SQL Based Association Rule Mining on Large Scale PC Cluster : Performance Comparison with Directly Coded C Implementation
Sub Title (in English)
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1st Author's Name Iko Pramudiono
1st Author's Affiliation Institute of Industrial Science, The University of Tokyo()
2nd Author's Name Takahiko Shintani
2nd Author's Affiliation Institute of Industrial Science, The University of Tokyo
3rd Author's Name Takayuki Tamura
3rd Author's Affiliation Institute of Industrial Science, The University of Tokyo
4th Author's Name Masaru Kitsuregawa
4th Author's Affiliation Institute of Industrial Science, The University of Tokyo
Date 1999/1/23
Paper # DE98-56
Volume (vol) vol.98
Number (no) 561
Page pp.pp.-
#Pages 8
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