The discovery of patterns that accurately discriminate one class label from another remains a challenging data mining task. Subgroup discovery (SD) is one of the frameworks that enables to elicit such interesting hypotheses from labeled data. A question remains fairly open: How to select an accurate heuristic search technique when exhaustive enumeration of the pattern space is infeasible? Exist...

Graph transformation systems, like PROGRES and Fujaba, can be used for modeling software systems of various domains, and support the automatic generation of executable code. A graph transformation rule is executed only if the pattern of the transformation’s left-hand side is found in the graph. The search for the pattern has an exponential worst-case complexity. In many cases, the average compl...