arulesCBA-package: arulesCBA: Classification Based on Association Rules
In arulesCBA: Classification Based on Association Rules
arulesCBA-package R Documentation
arulesCBA: Classification Based on Association Rules
Description
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) \Sexpr[results=rd]{tools:::Rd_expr_doi("10.32614/RJ-2019-048")}.
Author(s)
Maintainer: Michael Hahsler mhahsler@lyle.smu.edu (ORCID) [copyright holder]
Authors:
Ian Johnson [copyright holder]
Other contributors:
Tyler Giallanza [contributor]
See Also
Useful links:
arulesCBA documentation built on May 29, 2024, 11:49 a.m.
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| arulesCBA-package | R Documentation |
arulesCBA: Classification Based on Association Rules
Description
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) \Sexpr[results=rd]{tools:::Rd_expr_doi("10.32614/RJ-2019-048")}.
Author(s)
Maintainer: Michael Hahsler mhahsler@lyle.smu.edu (ORCID) [copyright holder]
Authors:
Ian Johnson [copyright holder]
Other contributors:
Tyler Giallanza [contributor]
See Also
Useful links:
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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