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DMIN
2006
103views Data Mining» more  DMIN 2006»
13 years 6 months ago
Modeling of the counter-examples and association rules interestingness measures behavior
Association rules discovery is one of the most important tasks in Knowledge Discovery in Data Bases. Since the initial APRIORI algorithm, many efforts have been done in order to de...
Benoît Vaillant, Stéphane Lallich, Ph...
SAC
2010
ACM
12 years 11 months ago
A study on interestingness measures for associative classifiers
Associative classification is a rule-based approach to classify data relying on association rule mining by discovering associations between a set of features and a class label. Su...
Mojdeh Jalali Heravi, Osmar R. Zaïane
PKDD
2010
Springer
153views Data Mining» more  PKDD 2010»
13 years 2 months ago
A Robustness Measure of Association Rules
Abstract. We propose a formal definition of the robustness of association rules for interestingness measures. It is a central concept in the evaluation of the rules and has only be...
Yannick Le Bras, Patrick Meyer, Philippe Lenca, St...
RSFDGRC
2005
Springer
110views Data Mining» more  RSFDGRC 2005»
13 years 10 months ago
A Rough Set Based Model to Rank the Importance of Association Rules
Abstract. Association rule algorithms often generate an excessive number of rules, many of which are not significant. It is difficult to determine which rules are more useful, int...
Jiye Li, Nick Cercone
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