Program
The workshop is held in conjunction with ICPM 2021 and will take place on November 1, 2021 according to the following schedule:
- 09:00-09:10: SA4PM'21 Welcome and Introduction by the organizers
- 09:10-10:10: Keynote talk: From Complex Event Recognition to Processes and Back - A Reflection on Existing Solutions and Open Challenges by Matthias Weidlich
- 10:10-10:15: (Work-in-progress pitch) Towards Best Practices for Online Predictive Process Monitoring by Stijn Kas, Ivar Siccama, Peter van der Putten, Georg Krempl, Ruben Post, Sebastiaan Wiewel, and Hajo Reijers
- 10:15-11:00: Break and Poster Session
- 11:00-11:25: PErrCas: Process Error Cascade Mining in Trace Streams by Anna Wimbauer, Florian Richter, and Thomas Seidl
- 11:25-11:50: Continuous Performance Evaluation for Business Process Outcome Monitoring by Suhwan Lee, Marco Comuzzi, and Xixi Lu
- 11:50-12:15: Online Prediction of Aggregated Retailer Consumer Behaviour by Yorick Spenrath, Marwan Hassani, and Boudewijn F. van Dongen
We are excited to announce that Matthias Weidlich will be the Keynote Speaker of SA4PM'21. This is the abstract of his keynote:
Abstract of: From Complex Event Recognition to Processes and Back – A Reflection on Existing Solutions and Open Challenges
The integration of complex event recognition and models that guide the design and analysis of processes is beneficial for various reasons. Complex event recognition supports the abstraction of event data to conduct process mining; it enriches the expressiveness of process models in terms of the specification of events that steer process execution; and it enables monitoring of processes or even their enactment. Information on processes, in turn, is valuable to optimize the evaluation of queries for complex event recognition. In this talk, I review scenarios and respective solutions for the integration of complex event recognition and process management, and point to open research questions in the area.
Matthias Weidlich is a full professor at the Department of Computer Science at Humboldt-Universität zu Berlin (HU Berlin), Germany, where he holds the Chair on Databases and Information Systems. Before joining HU Berlin, he held positions at Imperial College London and at the Technion- Israel Institute of Technology. He holds a PhD in Computer Science from the Hasso Plattner Institute, University of Potsdam. His research focuses on the analysis of process-oriented systems, event stream processing, and exploratory data analysis. Matthias is a Junior-Fellow of the German Informatics Society (GI) and in 2016 received the Berlin Young Researcher Award. He serves as Co-Editor in Chief for the Information Systems journal and is a member of the steering committee of the ACM DEBS conference series.