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rCBA (version 0.4.3)

CBA Classifier

Description

Provides implementations of a classifier based on the "Classification Based on Associations" (CBA). It can be used for building classification models from association rules. Rules are pruned in the order of precedence given by the sort criteria and a default rule is added. The final classifier labels provided instances. CBA was originally proposed by Liu, B. Hsu, W. and Ma, Y. Integrating Classification and Association Rule Mining. Proceedings KDD-98, New York, 27-31 August. AAAI. pp80-86 (1998, ISBN:1-57735-070-7).

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Install

install.packages('rCBA')

Monthly Downloads

345

Version

0.4.3

License

Apache License (== 2.0)

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Maintainer

Jaroslav Kuchar

Last Published

May 29th, 2019

Functions in rCBA (0.4.3)

classification

A classification function
frameToRules

Conversion of data.frame to rules from arules
build

Build classifier function (Apriori-based)
pruning

A Pruning function
buildFPGrowth

Build classifier function (FP-Growth-based)
fpgrowth

FP-Growth