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.

References in zbMATH (referenced in 4 articles )

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  1. Szymon Maksymiuk, Alicja Gosiewska, Przemyslaw Biecek: Landscape of R packages for eXplainable Artificial Intelligence (2020) arXiv
  2. Glatz, Eduard; Mavromatidis, Stelios; Ager, Bernhard; Dimitropoulos, Xenofontas: Visualizing big network traffic data using frequent pattern mining and hypergraphs (2014) ioport
  3. Zhao, Yanchang: R and data mining. Examples and case studies (2013)
  4. Hahsler, Michael; Chelluboina, Sudheer; Hornik, Kurt; Buchta, Christian: The arules R-package ecosystem: analyzing interesting patterns from large transaction data sets (2011)