Parallel Association Rule Mining for Medical Applications

For real-time applications that consist of massive number of rules, partitioning of the rules to support parallel processing is important. This paper proposes a suite of algorithms called GAPCM for parallel processing of massive number of rules. By considering even distribution, minimal waiting time...

Ausführliche Beschreibung

Bibliographische Detailangaben

Hauptverfasser:	Zhang, G. G., Xu, C. Z., Sheu, P. C-Y, Yamaguchi, H.
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Algorithm design and analysis association rule Association rules co-location patterns Diseases GAPCM massive rules Parallel processing Partitioning algorithms Program processors Real time systems subnet allocation
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