Process mining provides a new means to understand and improve processes in an objective way in a variety of application domains through the analysis of recorded event data. This advanced course on process mining teaches students the fundamental concepts and theoretical foundations of process mining along a complete process mining methodology, and exposes students to real-life data sets to understand challenges related to process discovery, conformance checking, and model extension.
- Dirk Fahland - Dirk is Associate Professor (UHD) in the PA group. He completed his PhD with summa cum laude at Humboldt-Univeristät zu Berlin and Eindhoven University of Technology in 2010. His research interests include distributed processes and systems built from distributed components for which he investigates modeling systems (using process modeling languages, Petri nets, or scenario-based techniques), Read More ...