Wil's References for the year 2025!

I try to update my webpage once per year and provide as many papers as possible. Enjoy reading! Click here to return to home page.

  1. L. Barbieri, K. Stroeh, E.R.M. Madeira, and W.M.P. van der Aalst. An LLM-Based Q&A Natural Language Interface to Process Mining. In A. Delgado and T. Slaats, editors, International Workshop on Process Querying, Manipulation, and Intelligence (PQMI 2024), ICPM 2024 Workshop Proceedings, volume 533 of Lecture Notes in Business Information Processing, pages 5–17. Springer-Verlag, Berlin, 2025.
  2. B. Knopp, M.Pourbafrani, and W.M.P. van der Aalst. Root Cause Analysis Using Rule Mining on Object-Centric Event Logs. In A. Delgado and T. Slaats, editors, International Workshop on Process Querying, Manipulation, and Intelligence (PQMI 2024), ICPM 2024 Workshop Proceedings, volume 533 of Lecture Notes in Business Information Processing, pages 57–69. Springer-Verlag, Berlin, 2025.
  3. C.T. Schwanen, W. Pakusa, and W.M.P. van der Aalst. A Dynamic Programming Approach for Alignments on Process Trees. In A. Delgado and T. Slaats, editors, International Workshop on Process Querying, Manipulation, and Intelligence (PQMI 2024), ICPM 2024 Workshop Proceedings, volume 533 of Lecture Notes in Business Information Processing, pages 84–97. Springer-Verlag, Berlin, 2025.
  4. C. Rennert, M. Pourbafrani, and W.M.P. van der Aalst. Evaluation of Study Plans Using Partial Orders. In A. Delgado and T. Slaats, editors, International Workshop on Education Meets Process Mining (EduPM 2024), ICPM 2024 Workshop Proceedings, volume 533 of Lecture Notes in Business Information Processing, pages 164–166. Springer-Verlag, Berlin, 2025.
  5. N. Graves, T. Brockhoff, I. Koren, and W.M.P. van der Aalst. Extending Process Intelligence with Quantity-Related Process Mining. In A. Delgado and T. Slaats, editors, International Workshop on Event Data and Behavioral Analytics (EdbA 2024), ICPM 2024 Workshop Proceedings, volume 533 of Lecture Notes in Business Information Processing, pages 337–349. Springer-Verlag, Berlin, 2025.
  6. L. Liss, N. Elbert, C.M. Flathand, and W.M.P. van der Aalst. Framework for Extracting Real-World Object-Centric Event Logs from Game Data. In A. Delgado and T. Slaats, editors, International Workshop on Event Data and Behavioral Analytics (EdbA 2024), ICPM 2024 Workshop Proceedings, volume 533 of Lecture Notes in Business Information Processing, pages 363–375. Springer-Verlag, Berlin, 2025.
  7. V. Peeva, M. Porsil, and W.M.P. van der Aalst. Object-Centric Local Process Models. In A. Delgado and T. Slaats, editors, International Workshop on Event Data and Behavioral Analytics (EdbA 2024), ICPM 2024 Workshop Proceedings, volume 533 of Lecture Notes in Business Information Processing, pages 376–388. Springer-Verlag, Berlin, 2025.
  8. A. Berti, H. Kourani, and W.M.P. van der Aalst. PM-LLM-Benchmark: Evaluating Large Language Models on Process Mining Tasks. In A. Delgado and T. Slaats, editors, International Workshop on Generative Artificial Intelligence for Process Mining (GenAI4PM 2024), ICPM 2024 Workshop Proceedings, volume 533 of Lecture Notes in Business Information Processing, pages 610–623. Springer-Verlag, Berlin, 2025.
  9. J.N. Adams, J. Ziegler, M. McDermott, M.J. Douglas, R. Eber, J. Gichoya, D. Goode, S. Sankaranarayanan, W.M.P. van der Aalst, and L.A. Celi. A Health Equity Monitoring Framework Based on Process Mining. PLOS Digit Health, 3:1–14, 2024.
  10. F. Hering, O. Hinz, J. Pfeiffer, and W.M.P. van der Aalst. The Damocles Sword of Cyber Attacks. Business and Information Systems Engineering, 67(2):141–147, 2025.
  11. J. Pfeiffer, S. Schoebel, E. Elshan, A.K. Cordes, O. Hinz, W.M.P. van der Aalst, and H.A. Reijers. Women in IS: A Reflection on Diversity and Inclusion. Business and Information Systems Engineering, 67(4):439–448, 2025.
  12. W.M.P. van der Aalst, H.A. Reijers, O. Hinz, and J. Pfeiffer. Process Mindlessness: When we Lose Sight of What AI is Supposed to Improve. Business and Information Systems Engineering, 67(6):771–775, 2025.
  13. R. Hobeck, C. Klinkmüller, H.M.N.D. Bandara, I. Weber, and W.M.P. van der Aalst. On the Suitability of Process Mining for Enhancing Transparency of Blockchain Applications. Business and Information Systems Engineering, 67(6):777–796, 2025.
  14. F. Wangelik, M. Rafiei, M. Pourbafrani, and W.M.P. van der Aalst. Releasing Differentially Private Event Logs Using Generative Models. Data and Knowledge Engineering, 159:102450, 2025.
  15. H. Kourani, S.J. van Zelst, D. Schuster, and W.M.P. van der Aalst. Discovering Partially Ordered Workflow Models. Information Systems, 128:102493, 2025.
  16. M. Rafiei, M. Pourbafrani, and W.M.P. van der Aalst. Federated Conformance Checking. Information Systems, 131:102525, 2025.
  17. F. Vitale, M. Pegoraro, W.M.P. van der Aalst, and N. Mazzocca. Control-Flow Anomaly Detection By Process Mining-Based Feature Extraction and Dimensionality Reduction. Knowledge-Based Systems, 310:112970, 2025.
  18. S.J.J. Leemans, T. Brockhoff, W.M.P. van der Aalst, and A. Polyvyanyy. Partially Ordered Stochastic Conformance Checking. Knowledge and Information Systems, 67(3):2291–2319, 2025.
  19. R. Hobeck, A. Berti, I. Weber, and W.M.P. van der Aalst. Object-Centric Process Mining for Blockchain Applications Extracting and Representing Ethereum Execution Data in OCEL 2.0. Enterprise Modelling and Information Systems Architectures, 20(2), 2025.
  20. A. Berti, U. Jessen, G. Park, M. Rafiei, and W.M.P. van der Aalst. Analyzing Interconnected Processes: Using Object-Centric Process Mining To Analyze Procurement Processes. International Journal of Data Science and Analytics, 20:475–497, 2025.
  21. H. Kourani, G. Park, and W.M.P. van der Aalst. Translating Workflow Nets into the Partially Ordered Workflow Language. In E.G. Amparore and L. Mikulski, editors, Application and Theory of Petri Nets and Concurrency (Petri Nets 2025), volume 15714 of Lecture Notes in Computer Science, pages 242–264. Springer-Verlag, Berlin, 2025.
  22. T.M. Prinz, C.T. Schwanen, and W.M.P. van der Aalst. Deciding (Sub-Marking) Reachability in O(P2 + T2) for Sound Acyclic Free-Choice Workflow Nets. In E.G. Amparore and L. Mikulski, editors, Application and Theory of Petri Nets and Concurrency (Petri Nets 2025), volume 15714 of Lecture Notes in Computer Science, pages 366–387. Springer-Verlag, Berlin, 2025.
  23. C.T. Schwanen, W. Pakusa, and W.M.P. van der Aalst. Complexity of Alignments on Sound Free-Choice Workflow Nets. In E.G. Amparore and L. Mikulski, editors, Application and Theory of Petri Nets and Concurrency (Petri Nets 2025), volume 15714 of Lecture Notes in Computer Science, pages 388–410. Springer-Verlag, Berlin, 2025.
  24. A. Siddiqui, W.M.P. van der Aalst, and D. Schuster. Computing Alignments for Partially-Ordered Traces Through Petri Net Unfoldings. In E.G. Amparore and L. Mikulski, editors, Application and Theory of Petri Nets and Concurrency (Petri Nets 2025), volume 15714 of Lecture Notes in Computer Science, pages 411–432. Springer-Verlag, Berlin, 2025.
  25. D. Kretzschmann, A. Berti, and W.M.P. van der Aalst. A Data-Driven Framework for Retail Inventory Optimization: Integrating Object-Centric Process Mining and Mathematical Models. In K. Wecel, editor, International Conference on Business Information Systems (BIS 2025), pages 179–193, 2025.
  26. G. Park and W.M.P. van der Aalst. Operational Process Monitoring: An Object-Centric Approach. Computers in Industry, 164:104170, 2025.
  27. A. Küsters and W.M.P. van der Aalst. OCPQ: Object-Centric Process Querying and Constraints. In J. Grabis, T. Vos, M.J. Escalona, and O. Pastor, editors, International Conference on Research Challenges in Information Science (RCIS 2025), volume 547 of Lecture Notes in Business Information Processing, pages 383–400. Springer-Verlag, Berlin, 2025.
  28. E. Goulart Rocha, S.J.J. Leemans, and W.M.P. van der Aalst. Abstract-and-Compare Stochastic Conformance Checking. Process Science, 2(1):13, 2025.
  29. S. Folz-Weinstein, C. Rennert, L.L. Mannel, R. Bergenthum, and W.M.P. van der Aalst. eST2 Miner: Process Discovery Based on Firing Partial Orders. In J. Krogstie, S. Rinderle-Ma, G. Kappel, and H.A. Proper, editors, Advanced Information Systems Engineering (CAiSE 2025), volume 15702 of Lecture Notes in Computer Science, pages 59–75. Springer-Verlag, Berlin, 2025.
  30. L. Liss, C. Mensing, and W.M.P. van der Aalst. Object-Centric Causal Nets. In J. Krogstie, S. Rinderle-Ma, G. Kappel, and H.A. Proper, editors, Advanced Information Systems Engineering (CAiSE 2025), volume 15702 of Lecture Notes in Computer Science, pages 94–110. Springer-Verlag, Berlin, 2025.
  31. H.H. Beyel, C.T. Schwanen, and W.M.P. van der Aalst. Translucent Alignments. In J. Krogstie, S. Rinderle-Ma, G. Kappel, and H.A. Proper, editors, Advanced Information Systems Engineering (CAiSE 2025), volume 15702 of Lecture Notes in Computer Science, pages 167–184. Springer-Verlag, Berlin, 2025.
  32. H.H. Beyel and W.M.P. van der Aalst. Using Translucent Activity Relationships Frequencies to Enhance Process Discovery. Process Science, 2(1):15, 2025.
  33. A. Berti, X. Wang, H. Kourani, and W.M.P. van der Aalst. Specializing Large Language Models for Process Modeling Via Reinforcement Learning With Verifiable and Universal Rewards. Process Science, 2(1):26, 2025.
  34. H. Kourani, G. Park, and W.M.P. van der Aalst. Unlocking Non-Block-Structured Decisions: Inductive Mining with Choice Graphs. In A. Senderovich, C. Cabanillas, I. Vanderfeesten, and H. Reijers, editors, International Conference on Business Process Management (BPM 2025), volume 16044 of Lecture Notes in Computer Science, pages 144–161. Springer-Verlag, Berlin, 2025.
  35. N. Joudieh, W.M.P. van der Aalst, R. Champagnat, M. Rabah, and S. Nowakowski. Moodle2EventLog: A Tool for Pedagogically-Driven Log Enrichment and Analysis. In B. du Boulay, T. Di Mascio, E. Tovar, and C. Meinel, editors, Proceedings of the 17th International Conference on Computer Supported Education (CSEDU 2025), pages 452–463. SCITEPRESS, 2025.
  36. T. Brockhoff, M.S. Uysal, A.F. Ghahfarokhi, L. Reinsch, T. Kordtokrax, A. Meister, F. Schuette, T. Vural, M. Pourbafrani, T. Gries, and W.M.P. van der Aalst. Process Mining in Textile Production: Insights from Penn Textile Solutions. In J. vom Brocke, J. Mendling, and M. Rosemann, editors, Business Process Management Cases Volume 2, Digital Transformation - Strategy, Processes and Execution, pages 87–103. Springer-Verlag, Berlin, 2025.
  37. A. Küsters and W.M.P. van der Aalst. OC-DECLARE: Discovering Object-Centric Declarative Patterns with Synchronization. In A. Senderovich, C. Cabanillas, I. Vanderfeesten, and H. Reijers, editors, International Conference on Business Process Management (BPM 2025), volume 16044 of Lecture Notes in Computer Science, pages 162–179. Springer-Verlag, Berlin, 2025.
  38. L. Liss and W.M.P. van der Aalst. Process Area Extraction by Multilevel Resource Detection for Object-Centric Process Mining. In A. Senderovich, C. Cabanillas, I. Vanderfeesten, and H. Reijers, editors, International Conference on Business Process Management (BPM 2025), volume 16044 of Lecture Notes in Computer Science, pages 197–214. Springer-Verlag, Berlin, 2025.
  39. F. Vinci, G. Park, W.M.P. van der Aalst, and M. de Leoni. Online Discovery of Simulation Models for Evolving Business Processes. In A. Senderovich, C. Cabanillas, I. Vanderfeesten, and H. Reijers, editors, International Conference on Business Process Management (BPM 2025), volume 16044 of Lecture Notes in Computer Science, pages 451–468. Springer-Verlag, Berlin, 2025.
  40. D. Lee, M. Song, and W.M.P. van der Aalst. Layouting Object-Centric Directly Follows Graphs. In A. Senderovich, C. Cabanillas, I. Vanderfeesten, and H. Reijers, editors, Business Process Management Forum (BPM 2025), volume 564 of Lecture Notes in Business Information Processing, pages 204–220. Springer-Verlag, Berlin, 2025.
  41. A. Küsters and W.M.P. van der Aalst. Easy and Efficient Object-Centric Process Querying with the OCPQ Tool. In H. Reijers, A. Marrella, A. del Rio Ortega, S. Rinderle-Ma, B. Depaire, J.R. Rehse, F. Santoro, F. Zerbato, A. Marquez-Chamorro, I. Beerepoot, S. Agostinelli, and J. De Smedt, editors, BPM 2025 Best Dissertation Award, Doctoral Consortium, and Demonstration and Resources Forum (BPM Demos 2025), volume 4032 of CEUR Workshop Proceedings, pages 184–191. CEUR-WS.org, 2025.
  42. H.H. Beyel, C.T. Schwanen, and W.M.P. van der Aalst. Data for Translucent Alignments. https://doi.org/10.5281/zenodo.15210627, September 2025.
  43. H. Diers, V. Peeva, C. Rennert, and W.M.P. van der Aalst. Object-Centric and Traditional Event Data of the German Bundestag. https://doi.org/10.5281/zenodo.16811928, September 2025.
  44. M.Rafiei, M. Pourbafrani, and W.M.P. van der Aalst. Federated Conformance Checking. Computing Research Repository (CoRR) in arXiv, abs/2501.13576, 2025.
  45. F. Vitale, M. Pegoraro, W.M.P. van der Aalst, and N. Mazzocca. Control-Flow Anomaly Detection by Process Mining-based Feature Extraction and Dimensionality Reduction. Computing Research Repository (CoRR) in arXiv, abs/2502.10211, 2025.
  46. T.H. Huang, T. Junied, M. Pegoraro, and W.M.P. van der Aalst. ProReco: A Process Discovery Recommender System. Computing Research Repository (CoRR) in arXiv, abs/2502.10230, 2025.
  47. H. Kourani, G. Park, and W.M.P. van der Aalst. Translating Workflow Nets into the Partially Ordered Workflow Language. Computing Research Repository (CoRR) in arXiv, abs/2503.20363, 2025.
  48. A. Siddiqui, W.M.P. van der Aalst, and D. Schuster. Computing Alignments for Partially-ordered Traces Through Petri Net Unfoldings. Computing Research Repository (CoRR) in arXiv, abs/2504.00550, 2025.
  49. F. Wangelik, M. Rafiei, M.Pourbafrani, and W.M.P. van der Aalst. Releasing Differentially Private Event Logs Using Generative Models. Computing Research Repository (CoRR) in arXiv, abs/2504.06418, 2025.
  50. S. Folz-Weinstein, C. Rennert, L.L. Mannel, R. Bergenthum, and W.M.P. van der Aalst. eST2 Miner: Process Discovery Based on Firing Partial Orders. Computing Research Repository (CoRR) in arXiv, abs/2504.08372, 2025.
  51. H. Kourani, G. Park, and W.M.P. van der Aalst. Unlocking Non-Block-Structured Decisions: Inductive Mining with Choice Graphs. Computing Research Repository (CoRR) in arXiv, abs/2505.07052, 2025.
  52. F. Vinci, G. Park, W.M.P. van der Aalst, and M. de Leoni. Online Discovery of Simulation Models for Evolving Business Processes (Extended Version). Computing Research Repository (CoRR) in arXiv, abs/2506.10049, 2025.
  53. A. Küsters and W.M.P. van der Aalst. OCPQ: Object-Centric Process Querying and Constraints. Computing Research Repository (CoRR) in arXiv, abs/2506.11541, 2025.
  54. A. Berti and W.M.P. van der Aalst. CPN-Py: A Python-Based Tool for Modeling and Analyzing Colored Petri Nets. Computing Research Repository (CoRR) in arXiv, abs/2506.12238, 2025.
  55. W.M.P. van der Aalst. No AI Without PI! Object-Centric Process Mining as the Enabler for Generative, Predictive, and Prescriptive Artificial Intelligence. Computing Research Repository (CoRR) in arXiv, abs/2508.00116, 2025.
  56. H. Kourani, A. Antonov, A. Berti, and W.M.P. van der Aalst. Knowledge-Driven Hallucination in Large Language Models: An Empirical Study on Process Modeling. Computing Research Repository (CoRR) in arXiv, abs/2509.15336, 2025.
  57. H. Kourani, G. Park, and W.M.P. van der Aalst. Revealing Inherent Concurrency in Event Data: A Partial Order Approach to Process Discovery. Computing Research Repository (CoRR) in arXiv, abs/2509.15346, 2025.
  58. A. Norouzifar, H. Kourani, M. Dees, and W.M.P. van der Aalst. Integrating Domain Knowledge into Process Discovery Using Large Language Models. Computing Research Repository (CoRR) in arXiv, abs/2510.07161, 2025.
  59. A. Norouzifar and W.M.P. van der Aalst. Discriminative Rule Learning for Outcome-Guided Process Model Discovery. Computing Research Repository (CoRR) in arXiv, abs/2510.27343, 2025.
  60. W.M.P. van der Aalst. No AI Without PI! Object-Centric Process Mining as the Enabler for Generative, Predictive, and Prescriptive Artificial Intelligence. In C. Kahraman, S. Cebi, B. Oztaysi, S.C. Onar, C. Tolga, I.U. Sari, and I. Otay, editors, Intelligent and Fuzzy Systems, volume 1528 of Lecture Notes in Networks and Systems, pages 28–38. Springer-Verlag, Berlin, 2025.
  61. S.Y. Kim, L. Tirpitz, M. Wagels, B.T. Arnold, C. Rennert, I. Koren, J. Rapp, M. Moser, W.M.P. van der Aalst, B. Rumpe, R.H. Schmitt, J. Pennekamp, and S. Geisler. Dataspaces for Collaborative Research. In IEEE International Conference on Big Data (BigData), pages 3835–3844, 2025.
  62. C.T. Schwanen, W. Pakusa, and W.M.P. van der Aalst. Alignments meet Linear Algebra. In M. Köhler-Bussmeier, D. Moldt, H. Rölke, R. Bergenthum, A. Rivkin, J.M. van der Werf, J. Desel, and L. Petrucci, editors, Workshop on Algorithms & Theories for the Analysis of Event Data (ATAED 2025), volume 3998 of CEUR Workshop Proceedings, pages 185–200. CEUR-WS.org, 2025.
  63. N. Graves, A. Fritsch, R. Hensen, I. Koren, and W.M.P. van der Aalst. Object-Centric Process Mining for Semi-Automated and Multi-Perspective Sustainability Analyses. In International Conference on ICT for Sustainability (ICT4S 2025), pages 143–152. IEEE Computer Society, 2025.
  64. W.M.P. van der Aalst. Geen AI zonder Process Intelligence. AG Connect, 6:66–69, 2025.
  65. W.M.P. van der Aalst. No Enterprise AI Without Process Intelligence! Using Process Mining as the Lens to Address Performance and Compliance Problems. Tutorial of the 28th European Conference on Artificial Intelligence (ECAI 2025), University of Bologna, 2025.
  66. C. Pitsch, T. Brockhoff, J.N. Adams, S.J.J. Leemans, L.A. Celi, and W.M.P. van der Aalst. Hypothesis Testing for Processes. In J. De Weerdt, J.R. Rehse, and H. Reijers, editors, International Conference on Process Mining (ICPM 2025), pages 1–8. IEEE Computer Society, 2025.
  67. C. Rennert, J. Albers, S.J.J. Leemans, and W.M.P. van der Aalst. Your Secret Is Safe With Me: Federated Directly-Follows Graph Discovery. In J. De Weerdt, J.R. Rehse, and H. Reijers, editors, International Conference on Process Mining (ICPM 2025), pages 1–8. IEEE Computer Society, 2025.
  68. F. Vinci, W.M.P. van der Aalst G. Park, and M. de Leoni. Reliable and Configurable Process Simulations via Probabilistic White-Box Models. In M. Aiello, S. Deng, J.M. Murillo, I. Georgievski, B. Benatallah, and Z. Wang, editors, International Conference on Service-Oriented Computing (ICSOC 2025), volume 16321 of Lecture Notes in Computer Science, pages 337–352. Springer-Verlag, Berlin, 2025.