arc 1.1.4

Association Rule Classification

Released Mar 5, 2018 by Tomas Kliegr

This package cannot yet be used with Renjin it depends on other packages which are not available: R.utils 2.6.0


R.utils 2.6.0 arules 1.5-5 discretization 1.0-1 Matrix 1.2-12

Implements the Classification-based on Association Rules (CBA) (Bing Liu, Wynne Hsu, Yiming Ma (1999) ) algorithm for association rule classification (ARC). The package also contains several convenience methods that allow to automatically set CBA parameters (minimum confidence, minimum support) and it also natively handles numeric attributes by integrating a pre-discretization step. The rule generation phase is handled by the 'arules' package. To further decrease the size of the CBA models produced by the 'arc' package, postprocessing by the 'qCBA' package is suggested.



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