Visual Analytics Meets Process Mining
Problem
Visual Analytics integrates the outstanding capabilities of humans in terms of visual information exploration with the enormous processing power of computers to form a powerful knowledge discovery environment. Process Mining aims to extract information and knowledge from event logs to discover, monitor, and improve processes in a variety of application domains. The combination of interactive visual data analyses and exploration with Process Mining algorithms makes complex information structures more comprehensible and facilitates new insights. However, this combination is partly an uncharted territory.
Aim
You should provide a systematic overview of existing approaches in scientific literature that support or could support the combination of Visual Analytics and Process Mining to extract more insights from complex event data and ease the analysis process.
Other information
Starting point(s) for research about:
- Process Mining and Visual Analytics
- Process Mining Manifesto
- Miksch, S., Di Ciccio, C., Soffer, P., Weber, B.; Visual Analytics Meets Process Mining: Challenges and Opportunities. Visualization Viewpoint, IEEE Computer Graphics & Applications (CG&A), 44:132-141, 2024: DOI: 10.1109/MCG.2024.3456916.
- van der Linden, S., Filipov, V., Pufahl, L., Miksch, S., van den Elzen, S. "Towards Integrating Visual Analytics in Multi-Perspective Conformance Checking: A Call to Action", 27th EG Conference on Visualization (EuroVis 2025 ), 2025: DOI 10.2312/eurova.20251100.
- part of the book: Wil van der Aalst, Process Mining: Data Science in Action, Springer, 2016.
- Wil van der Aalst
- Silvia Miksch gave a keynote talk entitled "Visual Analytics Meets Process Mining: Challenges and Opportunities" at 3rd International Conference on Process Mining in Eindhoven, The Netherlands (see also https://www.cvast.tuwien.ac.at/bibcite/reference/541).
- Event Sequence Analysis and Visualization
- Anton Yeshchenko, Jan Mendling, A Survey of Approaches for Event Sequence Analysis and Visualization, Information Systems, 12, 2024: DOI: 10.1016/j.is.2023.102283.
- van der Linden, S. de Fouw, E., van den Elzen, S. and Vilanova, A., "A Survey of Visualization Techniques for Comparing Event Sequences" Computers and Graphics, 115:522-542, 2023. DOI: 10.1016/j.cag.2023.05.016.
- van der Linden, S., Wulterkens, B., van Gilst, M. M., Overeem, S., van Pul, C., Vilanova, A., and van den Elzen, S.,"FlexEvent: Going beyond Case-Centric Exploration and Analysis of Multivariate Event Sequences" Computer Graphics Forum. 42(3):161-172, 2023: DOI: 10.1111/cgf.14820.
- Spicker, R. Bernard, F., Scheurich, C., Pukelsheim, R., Keim, D. A., Schreck, T. and Bernard, J., “Comparative Analysis of Timeline-based Visualizations for Dynamic Overlapping Sets.” Computer Graphics Forum, 43(3):51–61, 2024. DOI: 10.2312/evs.20241074.
- Visualization of Time
- Wolfgang Aigner, Silvia Miksch, Heidrun Schumann, Christian Tominski, Visualization of Time-Oriented Data Revised and Expanded Second Edition, Springer, 2023 - https://timeviz.net/
- Brehmer, M., Lee, B., Bach, B., Riche, N. H., Munzner, T.: Timelines Revisited: A Design Space and Considerations for Expressive Storytelling. TVCG, 23(9):2151–2164, 2017: DOI: 10.1109/TVCG.2016.2614803.