Installation
About
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.
github.com/kliegr/arc | |
Copyright | The mdlp2.R script reuses parts of the code from the R `discretization` package by HyunJi Kim (GPL license). |
Bug report | File report |
Key Metrics
Downloads
Yesterday | 24 +167% |
Last 7 days | 78 -7% |
Last 30 days | 356 -13% |
Last 90 days | 1.063 -20% |
Last 365 days | 4.534 -2% |