arulesCBA v1.1.2

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by Ian Johnson

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.

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Classification Based on Association Rules

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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
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Vignettes of arulesCBA

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arulesCBA.rnw
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Details

Date 2017-07-26
License GPL-3
BugReports https://github.com/ianjjohnson/arulesCBA
NeedsCompilation yes
Packaged 2017-07-27 00:33:38 UTC; ianjohnson
Repository CRAN
Date/Publication 2017-07-27 03:17:01 UTC

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