Research Papers
My research spans process mining, especially object-centric process mining, data science, and machine learning. Below you'll find my published work.
Object-Centric Causal Nets
Lukas Liss, Caspar Mensing, Wil M. P. van der Aalst
International Conference on Advanced Information Systems Engineering (CAiSE) • 2025
A process discovery algorithm to mine object-centric causal nets from event data, which allows for the representation of complex relationships between objects in a process.
Framework for Extracting Real-World Object-Centric Event Logs from Game Data
Lukas Liss, Nico Elbert, Christoph M. Flath, Wil M. P. van der Aalst
International Conference on Process Mining Workshops (ICPM Workshops) • 2024
This paper presents a framework for extracting object-centric event logs from game data, enabling the analysis of player behavior and interactions in complex game environments.
A systematic review of machine learning-based prognostic models for acute pancreatitis: Towards improving methods and reporting quality
Brian Critelli, et al. (Lukas Liss as co-author)
PLoS Medicine • 2024
This paper presents a systematic review of machine learning-based prognostic models for acute pancreatitis, focusing on improving methods and reporting quality.
TOTeM: Temporal Object Type Model for Object-Centric Process Mining
Lukas Liss, Jan Niklas Adams, Wil M. P. van der Aalst
International Conference on Business Process Management (BPM-Forum) • 2024
The Temporal Object Type Model (TOTeM), can be discovered from object-centric event logs and describes which objects exist before, during, or parallel to objects form other object types within a process.
Learning recommendations from educational event data in higher education
Gyunam Park, Lukas Liss, Wil M. P. van der Aalst
Journal of Intelligent Information Systems • 2024
This paper presents a framework for learning recommendations from educational event data in higher education, focusing on improving student course taking and learning outcomes.
Object-Centric Alignments
Lukas Liss, Jan Niklas Adams, Wil M. P. van der Aalst
International Conference on Conceptual Modeling (ER) • 2023
This paper presents a novel approach to align object-centric event data with process models, enabling process owners to investigate the conformance of their processes with desired behavior.
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