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Relevancy in Constraint-Based Subgroup Discovery
[chapter]
2006
Lecture Notes in Computer Science
This chapter investigates subgroup discovery as a task of constraint-based mining of local patterns, aimed at describing groups of individuals with unusual distributional characteristics with respect to the property of interest. The chapter provides a novel interpretation of relevancy constraints and their use for feature filtering, introduces relevancy-based mechanisms for handling unknown values in the examples, and discusses the concept of relevancy as an approach to avoiding overfitting in
doi:10.1007/11615576_12
fatcat:knr4gldf6naitf5ex3yjf2mksu