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ORCID5th ICPM 2023: Rome, Italy
- 5th International Conference on Process Mining, ICPM 2023, Rome, Italy, October 23-27, 2023. IEEE 2023, ISBN 979-8-3503-5839-1
- Avigdor Gal:
Everything there is to Know about Stochastically Known Logs. xvii-xxiii - Orlenys López-Pintado, Marlon Dumas:
Discovery and Simulation of Business Processes with Probabilistic Resource Availability Calendars. 1-8 - Francesca Meneghello, Chiara Di Francescomarino, Chiara Ghidini:
Runtime Integration of Machine Learning and Simulation for Business Processes. 9-16 - Alexander Stevens, Jari Peeperkorn
, Johannes De Smedt, Jochen De Weerdt:
Manifold Learning for Adversarial Robustness in Predictive Process Monitoring. 17-24 - 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. 25-32 - Jonghyeon Ko, Fabrizio Maria Maggi, Marco Montali, Rafael Peñaloza, Ramon Fraga Pereira:
Plan Recognition as Probabilistic Trace Alignment. 33-40 - Paolo Felli, Marco Montali, Sarah Winkler:
Repairing Soundness Properties in Data-Aware Processes. 41-48 - Eli Bogdanov, Izack Cohen, Avigdor Gal:
SKTR: Trace Recovery from Stochastically Known Logs. 49-56 - 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. 57-64 - Martin Kabierski, Markus Richter, Matthias Weidlich:
Addressing the Log Representativeness Problem using Species Discovery. 65-72 - 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. 73-80 - Benedikt Knopp, Mahsa Pourbafrani, Wil M. P. van der Aalst:
Discovering Object-Centric Process Simulation Models. 81-88 - Humam Kourani, Daniel Schuster, Wil M. P. van der Aalst:
Scalable Discovery of Partially Ordered Workflow Models with Formal Guarantees. 89-96 - Hagen Völzer, Francesca Zerbato, Timothy Sulzer, Barbara Weber:
A Fresh Approach to Analyze Process Outcomes. 97-104 - Suhwan Lee, Marco Comuzzi, Xixi Lu, Hajo A. Reijers:
Measuring the Stability of Process Outcome Predictions in Online Settings. 105-112 - Michael Grohs, Peter Pfeiffer, Jana-Rebecca Rehse:
Business Process Deviation Prediction: Predicting Non-Conforming Process Behavior. 113-120 - 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. 121-128 - Jan Niklas van Detten, Pol Schumacher, Sander J. J. Leemans:
An Approximate Inductive Miner. 129-136
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