arules-package: arules: Mining Association Rules and Frequent Itemsets

In arules: Mining Association Rules and Frequent Itemsets

arules: Mining Association Rules and Frequent Itemsets

Description

Provides the infrastructure for representing, manipulating and analyzing transaction data and patterns (frequent itemsets and association rules). Also provides C implementations of the association mining algorithms Apriori and Eclat. Hahsler, Gruen and Hornik (2005) \Sexpr[results=rd]{tools:::Rd_expr_doi("10.18637/jss.v014.i15")}.

Key functions and Classes

• Mining Algorithms: apriori(), eclat()

• Classes: transactions, rules, itemsets

Author(s)

Maintainer: Michael Hahsler [e-mail] (ORCID) [copyright holder]

Authors:

• Christian Buchta [copyright holder]

• Bettina Gruen [copyright holder]

• Kurt Hornik (ORCID) [copyright holder]

Other contributors:

• Christian Borgelt [contributor, copyright holder]

• Ian Johnson [contributor]

• Makhlouf Ledmi [contributor]

See Also

Useful links:

• https://github.com/mhahsler/arules

• Report bugs at https://github.com/mhahsler/arules/issues

arules documentation built on Sept. 11, 2024, 8:15 p.m.