Mining Configurable Process Models from Collections of Event Logs
Existing process mining techniques are able to discover a specific process model for a given event log. In this paper, the authors aim to discover a configurable process model from a collection of event logs, i.e., the model should describe a family of process variants rather than one specific process. Consider for example the handling of building permits in different municipalities. Instead of discovering a process model per municipality, they want to discover one configurable process model showing commonalities and differences among the different variants.