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» Discretization of Target Attributes for Subgroup Discovery
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MLDM
2009
Springer
13 years 11 months ago
Discretization of Target Attributes for Subgroup Discovery
Abstract. We describe an algorithm called TargetCluster for the discretization of continuous targets in subgroup discovery. The algorithm identifies patterns in the target data an...
Katherine Moreland, Klaus Truemper
PKDD
2009
Springer
137views Data Mining» more  PKDD 2009»
13 years 11 months ago
On Subgroup Discovery in Numerical Domains
Subgroup discovery is a Knowledge Discovery task that aims at finding subgroups of a population with high generality and distributional unusualness. While several subgroup discove...
Henrik Grosskreutz, Stefan Rüping
ICML
2009
IEEE
14 years 5 months ago
Ranking interesting subgroups
Subgroup discovery is the task of identifying the top k patterns in a database with most significant deviation in the distribution of a target attribute Y . Subgroup discovery is ...
Stefan Rueping
ICDM
2010
IEEE
147views Data Mining» more  ICDM 2010»
13 years 2 months ago
Subgroup Discovery Meets Bayesian Networks -- An Exceptional Model Mining Approach
Whenever a dataset has multiple discrete target variables, we want our algorithms to consider not only the variables themselves, but also the interdependencies between them. We pro...
Wouter Duivesteijn, Arno J. Knobbe, Ad Feelders, M...