In mhahsler/arulesNBMiner: Mining NB-Frequent Itemsets and NB-Precise Rules

pkg <- 'stream'

source("https://raw.githubusercontent.com/mhahsler/pkg_helpers/main/pkg_helpers.R")
pkg_title(pkg)

This R package extends package arules with NBMiner, 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.

pkg_install(pkg)

Usage

Estimate NBD model parameters for the Agrawal data set.

library(arulesNBMiner)
data("Agrawal")

param <- NBMinerParameters(Agrawal.db, pi=0.99, theta=0.5, maxlen=5,
     minlen=1, trim = 0, verb = TRUE, plot=TRUE) 

Mine NB-frequent itemsets

itemsets_NB <- NBMiner(Agrawal.db, parameter = param, 
     control = list(verb = TRUE, debug=FALSE))

Inspect some itemsets with the highest precision.

inspect(head(itemsets_NB, by = "precision"))

References

• Michael Hahsler, A model-based frequency constraint for mining associations from transaction data. Data Mining and Knowledge Discovery, 13(2):137-166, September 2006. Free preprint
• Michael Hahsler, Sudheer Chelluboina, Kurt Hornik, and Christian Buchta. The arules R-package ecosystem: Analyzing interesting patterns from large transaction datasets. Journal of Machine Learning Research, 12:1977-1981, 2011.

mhahsler/arulesNBMiner documentation built on June 27, 2022, 10:24 p.m.