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» Heuristic Measures of Interestingness
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PKDD
2010
Springer
153views Data Mining» more  PKDD 2010»
13 years 6 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...
CORR
2008
Springer
115views Education» more  CORR 2008»
13 years 8 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
KDID
2004
137views Database» more  KDID 2004»
13 years 10 months ago
Condensed Representation of EPs and Patterns Quantified by Frequency-Based Measures
Emerging patterns (EPs) are associations of features whose frequencies increase significantly from one class to another. They have been proven useful to build powerful classifiers ...
Arnaud Soulet, Bruno Crémilleux, Fran&ccedi...
AIPS
2004
13 years 10 months ago
Heuristic Guidance Measures for Conformant Planning
Scaling conformant planning is a problem that has received much attention of late. Many planners solve the problem as a search in the space of belief states, and some heuristic gu...
Daniel Bryce, Subbarao Kambhampati
KDD
1998
ACM
193views Data Mining» more  KDD 1998»
14 years 25 days ago
Methods for Linking and Mining Massive Heterogeneous Databases
Manyreal-world KDDexpeditions involve investigation of relationships betweenvariables in different, heterogeneousdatabases. Wepresent a dynamic programmingtechnique for linking re...
José C. Pinheiro, Don X. Sun