Process mining is a young research discipline, industrial practice and product functionality at the crossings of computational intelligence and data mining on the one hand and process modeling and analysis on the other hand. The goal of process mining is to discover, monitor, diagnose and improve real processes by extracting knowledge from event logs readily available in today’s information systems. Process mining bridges the gap between data mining and business process modeling and analysis.

Process mining algorithms have been implemented in various academic and commercial systems. The corresponding tools are being increasingly relevant in industry and have proved to be essential means to meet business goals. Aiming to promote the research, development, education and understanding of process mining, the corresponding IEEE task force (see http://www.win.tue.nl/ieeetfpm/) was formed. Still, the transfer to industry is modest.

The seminar will provide a forum to take inventory of and discuss the current challenges in process mining and, in doing so, unleashing its potential for industrial adoption. At the end of the seminar, we should have answers to central questions, such as the following:

• What are the architectural demands and constraints for (perhaps none) process-aware information system to be addressed in order support process mining?
• What are the constraints or concerns hindering industry from using process mining?
• How can concepts such as concept drifting and scalability problems caused by “Big Data” be approached while keep some considerable level of guarantee?
• How to design process mining techniques that are “privacy-aware”, so that e.g. discovery methods can be applied in contexts where data must be kept confidential.
• How to feature data-aware process mining?
• What are the current gaps in existing tool-chains
• How to benchmark existing techniques.

These and other questions will be discussed at the seminar by participants from various research, industry and application areas, including Petri Nets, Business Process Modeling, Workflow Management, Business Intelligence and Consultancy, Software and Information System Engineering, Simulation, Security and Formal Methods.

The seminar’s strategic objectives are not only to identify challenges but also to provide opportunities for sharing knowledge and experiences and to serve as an incubator for sustained collaborations across relevant communities from academia and industry.