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.
References in zbMATH (referenced in 2 articles )
Showing results 1 to 2 of 2.
- Zhao, Yanchang: R and data mining. Examples and case studies (2013)
- Hahsler, Michael; Chelluboina, Sudheer; Hornik, Kurt; Buchta, Christian: The arules R-package ecosystem: analyzing interesting patterns from large transaction data sets (2011)