Cost-based quality measures in subgroup discovery

We consider data where examples are not only labeled in the classical sense (positive or negative), but also have costs associated with them. In this sense, each example has two target attributes, and we aim to find clearly defined subsets of the data where the values of these two targets have an unusual distribution. In other words, we are focusing on a Subgroup Discovery task with a somewhat unusual target concept, and investigate quality...