Package: arulesCBA 1.2.7

arulesCBA: Classification Based on Association Rules

Provides the infrastructure for association rule-based classification including the algorithms CBA, CMAR, CPAR, C4.5, FOIL, PART, PRM, RCAR, and RIPPER to build associative classifiers. Hahsler et al (2019) <doi:10.32614/RJ-2019-048>.

Authors:Michael Hahsler [aut, cre, cph], Ian Johnson [aut, cph], Tyler Giallanza [ctb]

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arulesCBA.pdf |arulesCBA.html✨
arulesCBA/json (API)
NEWS

# Install 'arulesCBA' in R:

install.packages('arulesCBA', repos = c('https://mhahsler.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/mhahsler/arulescba/issues

Datasets:

Lymphography - The Lymphography Domain Data Set
Mushroom - The Mushroom Data Set

On CRAN:

association-rules classification

25 exports 2 stars 1.68 score 13 dependencies 1 dependents 1 mentions 1.7k downloads

Last updated 2 months agofrom:231c9e7869

Exports:accuracy C4.5_CBA CBA CBA_ruleset classes classFrequency CMAR CPAR discretizeDF.supervised FOIL FOIL2 majorityClass mineCARs PART_CBA prepareTransactions PRM pruneCBA_M1 pruneCBA_M2 RCAR response RIPPER_CBA transactionCoverage transactions2DF uncoveredClassExamples uncoveredMajorityClass

Dependencies:arules codetools discretization foreach generics glmnet iterators lattice Matrix Rcpp RcppEigen shape survival

Citation

Development and contributors

Readme and manuals

Help Manual

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