arulesNBMiner

arulesNBMiner: Mining NB-Frequent Itemsets and NB-Precise Rules NBMiner is an implementation of the model-based mining algorithm for mining NB-frequent itemsets presented in ”Michael Hahsler. A model-based frequency constraint for mining associations from transaction data. Data Mining and Knowledge Discovery, 13(2):137-166, September 2006.” In addition an extension for NB-precise rules is implemented.

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References in zbMATH (referenced in 4 articles )

Showing results 1 to 4 of 4.
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  1. Zhao, Yanchang: R and data mining. Examples and case studies (2013)
  2. Hahsler, Michael; Chelluboina, Sudheer; Hornik, Kurt; Buchta, Christian: The arules R-package ecosystem: analyzing interesting patterns from large transaction data sets (2011)
  3. Hahsler, Michael: A model-based frequency constraint for mining associations from transaction data (2008) ioport
  4. Hahsler, Michael: A model-based frequency constraint for mining associations from transaction data (2006) ioport