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Classification Based on Association Rules in R
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arulesCBA_1.2.1
2 years ago
arulesCBA 1.2.1 (2021-11-20)
mineCARs now uses by default minimum LHS-support (via parameter originalSupport = FALSE).
the CBA_ruleset function is now used consistently as the constructor for CBA objects.
added transactionCoverage.
added uncoveredClassExamples.
added uncoveredMajorityClass.
added transactions2DF to convert transactions to a data.frame.
RCAR is now faster (does not run glmnet again for the chosen lambda) and returns the whole regularization path.
prepareTransactions now automatically add a negative class item if needed.
moved the experimental algorithms wCBA and bCBA to Work.
R/Weka-based classifiers have now a default class.
arulesCBA_1.2.0
4 years ago
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.
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