arulesCBA 1.2.0 (2020-04-17)

• Version 1.2.0 has a major interface cleanup. This might require some change in existing code.
• The classifiers now use as the default a min. confidence of .5 and maxlen of 5 (max. rule length).
• CBA now includes a default rule in the rule base.
• added prepareTransactions to dicretize and convert a data.frame into transactions.
• added new function response to convert class items to class labels (factors).
• added new function majorityClass.
• added FOIL.
• added RIPPER C4.5, and PART (via RWeka).
• added PRM, CPAR and CMAR (via LUCS-KDD Software Library).
• added datasets Mushroom and Lymphography.

arulesCBA 1.1.6 (2020-01-05)

• maintenance release.

arulesCBA 1.1.5 (2019-11-05)

• added RCAR (by Tyler Giallanza).
• The interface for CBA() was updated.
• CBA now complains if no rules are found.
• CBA has now also M1 pruning.
• mineCARs now uses … to construct the parameters for apriori().

arulesCBA 1.1.4 (2018-12-04)

• discretizeDF.supervised method mdlp now produces a better error message if it fails.
• cleaned up the predict code to improve speed.
• mineCARs has now a balanced support option.
• convenience function classFrequency added.

arulesCBA 1.1.3-1 (2018-04-23)

• added new function discretizeDF.supervised for supervised discretization.
• added new convenience function mineCARs to mine class association rules.
• the formula interface now parsed the right hand side to restrict the used predictors.