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Contrasting Subgroup Discovery
2012
Computer journal
Subgroup discovery methods find interesting subsets of objects of a given class. Motivated by an application in bioinformatics, we first define a generalized subgroup discovery problem. In this setting, a subgroup is interesting if its members are characteristic for their class, even if the classes are not identical. Then we further refine this setting for the case where subsets of objects, for example, subsets of objects that represent different time points or different phenotypes, are
doi:10.1093/comjnl/bxs132
fatcat:btjxrfhgjffjrl7pkcg5jrufnu