Parallel TID-based frequent pattern mining algorithm on a PC Cluster and grid computing system

The mining of frequent patterns from transaction-oriented databases is an important subject. Frequent patterns are fundamental in generating association rules, time series, etc. Most frequent pattern mining algorithms can be classified into two categories: generate-and-test approach (Apriori-like) a...

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Veröffentlicht in:	Expert systems with applications Jg. 37; H. 3; S. 2486 - 2494
Hauptverfasser:	Yu, Kun-Ming, Zhou, Jiayi
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier Ltd 15.03.2010
Schlagworte:	Association rules Cluster computing Data mining Frequent pattern mining Grid computing Frequent pattern mining Grid computing Association rules Data mining Cluster computing
ISSN:	0957-4174, 1873-6793
Online-Zugang:	Volltext
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