arc - Association Rule Classification
Implements the Classification-based on Association Rules
(CBA) algorithm for association rule classification. The
package, also described in Hahsler et al. (2019)
<doi:10.32614/RJ-2019-048>, 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.
