# arulesCBA v1.1.2

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## Classification Based on Association Rules

Provides a function to build an association rule-based classifier for data frames, and to classify incoming data frames using such a classifier.

# 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.

## Functions in arulesCBA

 Name Description 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 No Results!