R: Classification Based on Association Rules

# Classification Based on Association Rules

## Documentation for package ‘arulesCBA’ version 1.2.7

- DESCRIPTION file.
- Package NEWS.

## Help Pages

accuracy | Model Prediction for Classifiers Based on Association Rules
C4.5_CBA | CBA classifiers based on rule-based classifiers in RWeka
CBA | Classification Based on Association Rules Algorithm (CBA)
CBA_helpers | Helper Functions For Dealing with Classes
CBA_ruleset | Constructor for Objects for Classifiers Based on Association Rules
classes | Helper Functions For Dealing with Classes
classFrequency | Helper Functions For Dealing with Classes
CMAR | Interface to the LUCS-KDD Implementations of CMAR, PRM and CPAR
CPAR | Interface to the LUCS-KDD Implementations of CMAR, PRM and CPAR
discretize | Supervised Methods to Convert Continuous Variables into Categorical Variables
discretizeDF.supervised | Supervised Methods to Convert Continuous Variables into Categorical Variables
FOIL | Use FOIL to learn a rule set for classification
foil | Use FOIL to learn a rule set for classification
FOIL2 | Interface to the LUCS-KDD Implementations of CMAR, PRM and CPAR
LUCS_KDD_CBA | Interface to the LUCS-KDD Implementations of CMAR, PRM and CPAR
Lymphography | The Lymphography Domain Data Set (UCI)
majorityClass | Helper Functions For Dealing with Classes
mineCARs | Mine Class Association Rules
Mushroom | The Mushroom Data Set (UCI)
PART_CBA | CBA classifiers based on rule-based classifiers in RWeka
predict | Model Prediction for Classifiers Based on Association Rules
predict.CBA | Model Prediction for Classifiers Based on Association Rules
prepareTransactions | Prepare Data for Associative Classification
PRM | Interface to the LUCS-KDD Implementations of CMAR, PRM and CPAR
pruneCBA_M1 | Classification Based on Association Rules Algorithm (CBA)
pruneCBA_M2 | Classification Based on Association Rules Algorithm (CBA)
RCAR | Regularized Class Association Rules for Multi-class Problems (RCAR+)
rcar | Regularized Class Association Rules for Multi-class Problems (RCAR+)
response | Helper Functions For Dealing with Classes
RIPPER_CBA | CBA classifiers based on rule-based classifiers in RWeka
RWeka_CBA | CBA classifiers based on rule-based classifiers in RWeka
transactionCoverage | Helper Functions For Dealing with Classes
transactions2DF | Convert Transactions to a Data.Frame
uncoveredClassExamples | Helper Functions For Dealing with Classes
uncoveredMajorityClass | Helper Functions For Dealing with Classes