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» New probabilistic interest measures for association rules
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CORR
2008
Springer
115views Education» more  CORR 2008»
13 years 4 months ago
New probabilistic interest measures for association rules
Mining association rules is an important technique for discovering meaningful patterns in transaction databases. Many different measures of interestingness have been proposed for ...
Michael Hahsler, Kurt Hornik
IDA
2002
Springer
13 years 4 months ago
Measuring the accuracy and interest of association rules: A new framework
It has been pointed out that the usual framework to assess association rules, based on support and confidence as measures of importance and accuracy, has several drawbacks. In part...
Fernando Berzal Galiano, Ignacio J. Blanco, Daniel...
GFKL
2005
Springer
105views Data Mining» more  GFKL 2005»
13 years 10 months ago
Implications of Probabilistic Data Modeling for Mining Association Rules
Mining association rules is an important technique for discovering meaningful patterns in transaction databases. In the current literature, the properties of algorithms to mine ass...
Michael Hahsler, Kurt Hornik, Thomas Reutterer
ICDM
2003
IEEE
126views Data Mining» more  ICDM 2003»
13 years 9 months ago
Interpretations of Association Rules by Granular Computing
This paper presents interpretations for association rules. It first introduces Pawlak’s method, and the corresponding algorithm of finding decision rules (a kind of association ...
Yuefeng Li, Ning Zhong
ICCSA
2004
Springer
13 years 10 months ago
Exception Rules Mining Based on Negative Association Rules
Exception rules have been previously defined as rules with low interest and high confidence. In this paper a new approach to mine exception rules will be proposed and evaluated. In...
Olena Daly, David Taniar