, favors the identification of SGs associated with narrow distributions of target values. The outcome of the SGD analysis is the description of the SG that maximizes the objective function. This description constrains the values of only few, key parameters, out of the many initially offered ones and might be referred to as SG rules. Importantly, the SG description focuses on the behavior of the data points that belong to the SG. In this sense, the SG rules are local, not global.