We propose a technique for the discovery of BPMN models with hierarchical structure.

The hierarchy is mined via functional and inclusion dependency discovery techniques.

Process and subprocess models are mined using existing process discovery techniques.

Models and logs are analyzed in order to identify boundary events and markers.

Process models are more accurate and less complex when discovered by our technique.