High-performance data mining with skeleton-based structured parallel programming

We show how to apply a structured parallel programming (SPP) methodology based on skeletons to data mining (DM) problems, reporting several results about three commonly used mining techniques, namely association rules, decision tree induction and spatial clustering. We analyze the structural pattern...

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Bibliographic Details

Published in:	Parallel computing Vol. 28; no. 5; pp. 793 - 813
Main Authors:	Coppola, Massimo, Vanneschi, Marco
Format:	Journal Article
Language:	English
Published:	Elsevier B.V 01.05.2002
Subjects:	Association rules classification clustering Data mining High performance computing skeletons Structured parallel programming High performance computing skeletons Structured parallel programming clustering Data mining Association rules classification
ISSN:	0167-8191, 1872-7336
Online Access:	Get full text
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