arc: Association Rule Classification
Version 1.1

Implements the Classification-based on Association Rules (CBA) 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.

AuthorTomas Kliegr [aut, cre]
Date of publication2017-03-02 14:29:51
MaintainerTomas Kliegr <kliegr@gmail.com>
LicenseAGPL-3
Version1.1
Package repositoryView on CRAN
InstallationInstall the latest version of this package by entering the following in R:
install.packages("arc")

Popular man pages

cba: CBA Classifier
cbaCSV: Example CBA Workflow with CSV Input
cbaIrisNumeric: Test CBA Workflow on Iris Dataset with numeric target
CBARuleModelAccuracy: Prediction Accuracy
discretizeUnsupervised: Unsupervised Discretization
discrNumeric: Discretize Numeric Columns In Data frame
topRules: Rule Generatio
See all...

All man pages Function index File listing

Man pages

applyCut: Apply Cut Points to Vector
applyCuts: Apply Cut Points to Data Frame
cba: CBA Classifier
cbaCSV: Example CBA Workflow with CSV Input
cbaIris: Test CBA Workflow on Iris Dataset
cbaIrisNumeric: Test CBA Workflow on Iris Dataset with numeric target
CBARuleModelAccuracy: Prediction Accuracy
CBARuleModel-class: CBARuleModel
discretizeUnsupervised: Unsupervised Discretization
discrNumeric: Discretize Numeric Columns In Data frame
getAppearance: Method that generates items for values in given data frame...
mdlp2: Supervised Discretization
predict.CBARuleModel: Apply Rule Model
prune: Classifier Builder
topRules: Rule Generatio

Functions

Files

tests
tests/testthat
tests/testthat/testiris.R
tests/testthat/testthat.R
NAMESPACE
R
R/toprules.R
R/cba.R
R/cutSemicolon.R
R/m1prune.R
R/mdlp2.R
MD5
DESCRIPTION
man
man/cba.Rd
man/discretizeUnsupervised.Rd
man/cbaIris.Rd
man/discrNumeric.Rd
man/CBARuleModelAccuracy.Rd
man/getAppearance.Rd
man/predict.CBARuleModel.Rd
man/prune.Rd
man/cbaIrisNumeric.Rd
man/applyCuts.Rd
man/CBARuleModel-class.Rd
man/applyCut.Rd
man/mdlp2.Rd
man/cbaCSV.Rd
man/topRules.Rd
arc documentation built on May 20, 2017, 6:04 a.m.

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