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Classification Based on Association Rules

This R package performs association rule-based classification.

It includes two classification algorithms.

The first is the CBA algorithm described in Liu, et al. 1998. (CBA) The second is a weighted majority-vote based algorithm which is currently being designed and tested. (bCBA)

Both algorithms create classifiers based on association rules and can then use those classifiers to classify incoming datasets.

The algorithms are implemented in C, and data is formatted and passed to the C implementations via an R interface accessible through this package.

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Version

Install

install.packages('arulesCBA')

Monthly Downloads

1,306

Version

1.1.2

License

GPL-3

Maintainer

Ian Johnson

Last Published

July 27th, 2017

Functions in arulesCBA (1.1.2)

rules

Get the Association Rules from a CBA classifier
wCBA

Classification Based on Association Rules
CBA

Classification Based on Association Rules
CBA_ruleset

Rules-based Classifier from Association Rules
bCBA

Classification Based on Association Rules
predict

Classification with CBA classifier