239 citations · 363 across the 7 of their papers we have counts for
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cs.DB2008★ 68 cited
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…
cs.DB2008★ 24 cited
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…