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arulesNBMiner (version 0.1-5)

Mining NB-Frequent Itemsets and NB-Precise Rules

Description

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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Version

Install

install.packages('arulesNBMiner')

Monthly Downloads

422

Version

0.1-5

License

GPL-2

Maintainer

Michael Hahsler

Last Published

July 2nd, 2015

Functions in arulesNBMiner (0.1-5)

Agrawal

Synthetic Example Dataset Agrawal
NBMinerParameters

Estimate Global Model Parameters from Data
NBMiner

NBMiner: Mine NB-Frequent Itemsets or NB-Precise Rules