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Optimal Subgroup Discovery in Purely Numerical Data
[chapter]
2020
Lecture Notes in Computer Science
Subgroup discovery in labeled data is the task of discovering patterns in the description space of objects to find subsets of objects whose labels show an interesting distribution, for example the disproportionate representation of a label value. Discovering interesting subgroups in purely numerical data -attributes and target label -has received little attention so far. Existing methods make use of discretization methods that lead to a loss of information and suboptimal results. This is the
doi:10.1007/978-3-030-47436-2_9
fatcat:4q6tontjc5dubg7kpuqwoljqy4