arc: Association Rule Classification
Version 1.2

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.

Getting started

Package details

AuthorTomas Kliegr [aut, cre]
Date of publication2018-04-18 13:23:29 UTC
MaintainerTomas Kliegr <[email protected]>
LicenseAGPL-3
Version1.2
URL https://github.com/kliegr/arc
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("arc")

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arc documentation built on April 18, 2018, 5:03 p.m.