TY - JOUR
T1 - The arules R-package ecosystem: Analyzing interesting patterns from large transaction datasets
AU - Hahsler, Michael
AU - Chelluboina, Sudheer
AU - Hornik, Kurt
AU - Buchta, Christian
PY - 2011
Y1 - 2011
N2 - This paper describes the ecosystem of R add-on packages developed around the infrastructure provided by the package arules. The packages provide comprehensive functionality for analyzing interesting patterns including frequent itemsets, association rules, frequent sequences and for building applications like associative classification. After discussing the ecosystem's design we illustrate the ease of mining and visualizing rules with a short example.
AB - This paper describes the ecosystem of R add-on packages developed around the infrastructure provided by the package arules. The packages provide comprehensive functionality for analyzing interesting patterns including frequent itemsets, association rules, frequent sequences and for building applications like associative classification. After discussing the ecosystem's design we illustrate the ease of mining and visualizing rules with a short example.
UR - http://jmlr.csail.mit.edu/papers/v12/
M3 - Journal article
SN - 1533-7928
VL - 12
SP - 2021
EP - 2025
JO - Journal of Machine Learning Research
JF - Journal of Machine Learning Research
ER -