The Arules R-Package Ecosystem: Analyzing Interesting Patterns from Large Transaction Data Sets
Abstract
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.
Cite
Text
Hahsler et al. "The Arules R-Package Ecosystem: Analyzing Interesting Patterns from Large Transaction Data Sets." Machine Learning Open Source Software, 2011.Markdown
[Hahsler et al. "The Arules R-Package Ecosystem: Analyzing Interesting Patterns from Large Transaction Data Sets." Machine Learning Open Source Software, 2011.](https://mlanthology.org/mloss/2011/hahsler2011jmlr-arules/)BibTeX
@article{hahsler2011jmlr-arules,
title = {{The Arules R-Package Ecosystem: Analyzing Interesting Patterns from Large Transaction Data Sets}},
author = {Hahsler, Michael and Chelluboina, Sudheer and Hornik, Kurt and Buchta, Christian},
journal = {Machine Learning Open Source Software},
year = {2011},
pages = {2021-2025},
volume = {12},
url = {https://mlanthology.org/mloss/2011/hahsler2011jmlr-arules/}
}