arulesViz swMATH ID: 7326 Software Authors: Michael Hahsler; Sudheer Chelluboina Description: arulesViz: Visualizing Association Rules and Frequent Itemsets Various visualization techniques for association rules and itemsets. The packages also includes several interactive visualizations for rule exploration. This package extends package arules. Homepage: http://cran.r-project.org/web/packages/arulesViz/index.html Source Code: https://github.com/cran/arulesViz Dependencies: R Related Software: arules; R; ggplot2; arulesNBMiner; arulespy; htmlwidgets; RPy; UCI-ml; visNetwork; plotly; rpy2; Matrix; MLxtend; Python; ELI5; vivo; forestmodel; EIX; reticulate; H2O Cited in: 2 Documents Cited by 5 Authors 1 Buchta, Christian 1 Chelluboina, Sudheer 1 Hahsler, Michael 1 Hornik, Kurt 1 Zhao, Yanchang Cited in 1 Serial 1 Journal of Machine Learning Research (JMLR) Cited in 2 Fields 2 Statistics (62-XX) 2 Computer science (68-XX) Citations by Year