ICPM

Publications

2023

Martin Kabierski, Markus Richter, Matthias Weidlich
Addressing the Log Representativeness Problem using Species Discovery. ICPM (2023)
5th International Conference on Process Mining, ICPM 2023, Rome, Italy, October 23-27, 2023 ICPM (2023)
Iris Beerepoot, Daniël Barenholz, Stijn Beekhuis, Jens Gulden, Suhwan Lee, Xixi Lu, Sietse Overbeek, Inge van de Weerd, Jan Martijn E. M. van der Werf, Hajo A. Reijers
A Window of Opportunity: Active Window Tracking for Mining Work Practices. ICPM (2023)
Adam T. Burke, Sander J. J. Leemans, Moe Thandar Wynn, Cameron D. Campbell
State Snapshot Process Discovery on Career Paths of Qing Dynasty Civil Servants. ICPM (2023)
Hagen Völzer, Francesca Zerbato, Timothy Sulzer, Barbara Weber
A Fresh Approach to Analyze Process Outcomes. ICPM (2023)
Alexander Stevens, Jari Peeperkorn, Johannes De Smedt, Jochen De Weerdt
Manifold Learning for Adversarial Robustness in Predictive Process Monitoring. ICPM (2023)
Eli Bogdanov, Izack Cohen, Avigdor Gal
SKTR: Trace Recovery from Stochastically Known Logs. ICPM (2023)
Felix C. Groß, Lisa Luise Mannel, Wil M. P. van der Aalst
Enhancing the Applicability of the eST-Miner: Efficient Precision-Guided Implicit Place Avoidance. ICPM (2023)
Zihang Su, Tianshi Yu, Nir Lipovetzky, Alireza Mohammadi, Denny Oetomo, Artem Polyvyanyy, Sebastian Sardiña, Ying Tan, Nick van Beest
Data-Driven Goal Recognition in Transhumeral Prostheses Using Process Mining Techniques. ICPM (2023)
Avigdor Gal
Everything there is to Know about Stochastically Known Logs. ICPM (2023)
Humam Kourani, Daniel Schuster, Wil M. P. van der Aalst
Scalable Discovery of Partially Ordered Workflow Models with Formal Guarantees. ICPM (2023)
Francesca Meneghello, Chiara Di Francescomarino, Chiara Ghidini
Runtime Integration of Machine Learning and Simulation for Business Processes. ICPM (2023)
Benedikt Knopp, Mahsa Pourbafrani, Wil M. P. van der Aalst
Discovering Object-Centric Process Simulation Models. ICPM (2023)
Orlenys López-Pintado, Marlon Dumas
Discovery and Simulation of Business Processes with Probabilistic Resource Availability Calendars. ICPM (2023)
Suhwan Lee, Marco Comuzzi, Xixi Lu, Hajo A. Reijers
Measuring the Stability of Process Outcome Predictions in Online Settings. ICPM (2023)
Jonghyeon Ko, Fabrizio Maria Maggi, Marco Montali, Rafael Peñaloza, Ramon Fraga Pereira
Plan Recognition as Probabilistic Trace Alignment. ICPM (2023)
Jan Niklas van Detten, Pol Schumacher, Sander J. J. Leemans
An Approximate Inductive Miner. ICPM (2023)
Paolo Felli, Marco Montali, Sarah Winkler
Repairing Soundness Properties in Data-Aware Processes. ICPM (2023)
Michael Grohs, Peter Pfeiffer, Jana-Rebecca Rehse
Business Process Deviation Prediction: Predicting Non-Conforming Process Behavior. ICPM (2023)

2022

2021