68 citations · 140 across the 7 of their papers we have counts for
4 papers · 1 filter
ARULESPY: Exploring Association Rules and Frequent Itemsets in Python
Michael Hahsler
The R arules package implements a comprehensive infrastructure for representing, manipulating, and analyzing transaction data and patterns using frequent itemsets and association r…
A Model-Based Frequency Constraint for Mining Associations from Transaction Data
Michael Hahsler
Mining frequent itemsets is a popular method for finding associated items in databases. For this method, support, the co-occurrence frequency of the items which form an association…
New probabilistic interest measures for association rules
Michael Hahsler, Kurt Hornik
Mining association rules is an important technique for discovering meaningful patterns in transaction databases. Many different measures of interestingness have been proposed for a…
Selective association rule generation
Michael Hahsler, Christian Buchta, Kurt Hornik
Mining association rules is a popular and well researched method for discovering interesting relations between variables in large databases. A practical problem is that at medium t…