Streaming Analytics for Process Mining (SA4PM’22)



Kolpinghaus Bozen – Josef room
Largo Adolph Kolping, 3 – Google Maps


  • Marwan Hassani, Eindhoven University of Technology,
  • Andrea Burattin, Technical University of Denmark
  • Thomas Seidl, Ludwig-Maximilians-Universität München,
  • Sebastiaan van Zelst, Fraunhofer Institute for Applied Information Technology,


The main goal of the workshop is to promote the use and development of new techniques to support the analysis of streaming-based processes. We aim at bringing together practitioners and researchers from different communities, e.g. Process Mining, Stream Data Mining, Case Management, Business Process Management, Database Systems and Information Systems who share an interest in online analysis and optimization of business processes and process-aware information systems with time, storage or complexity restrictions. The workshop aims at discussing the current state of ongoing research and sharing practical experiences, exchanging ideas and setting up future research directions.