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MLDM
2009
Springer

Discretization of Target Attributes for Subgroup Discovery

9 years 6 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 and uses them to select the discretization cutpoints. The algorithm has been implemented in a subgroup discovery method. Tests show that the discretization method likely leads to improved insight. Key words: Subgroup Discovery, Logic, Classification, Feature Selection
Katherine Moreland, Klaus Truemper
Added 27 May 2010
Updated 27 May 2010
Type Conference
Year 2009
Where MLDM
Authors Katherine Moreland, Klaus Truemper
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