Wil's References for the year 2023!

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. W.M.P. van der Aalst. Object-Centric Process Mining: The Next Frontier in Business Performance. celon.is/OCPM-Whitepaper, 2023.
  2. W.M.P. van der Aalst, O. Hinz, and C. Weinhardt. Sustainable Systems Engineering. Business and Information Systems Engineering, 65(1):1-6, 2023.
  3. A. Berti and W.M.P. van der Aalst. OC-PM: Analyzing Object-Centric Event Logs and Process Models. International Journal on Software Tools for Technology Transfer, 25(1):1-17, 2023.
  4. M. Rafiei and W.M.P. van der Aalst. An Abstraction-Based Approach for Privacy-Aware Federated Process Mining. IEEE Access, 11:33697-33714, 2023.
  5. T. Teubner, C.M. Flath, C. Weinhardt, W.M.P. van der Aalst, and O. Hinz. Welcome to the Era of ChatGPT et al. Business and Information Systems Engineering, 65(2):95-101, 2023.
  6. M. Nofer, K. Bauer, O. Hinz, W.M.P. van der Aalst, and C. Weinhardt. Quantum Computing. Business and Information Systems Engineering, 65(4):361-367, 2023.
  7. J.N. Adams, S.J. van Zelst, T. Rose, and W.M.P. van der Aalst. Explainable Concept Drift in Process Mining. Information Systems, 114:102177, 2023.
  8. W.M.P. van der Aalst, R. De Masellis, C. Di Francescomarino, C. Ghidini, and H. Kourani. Discovering Hybrid Process Models With Bounds on Time and Complexity: When To Be Formal and When Not? Information Systems, 116:102214, 2023.
  9. J.N. Adams, C. Pitsch, T. Brockhoff, and W.M.P. van der Aalst. An Experimental Evaluation of Process Concept Drift Detection. Proceedings of the VLDB Endowment, 16(8):1856-1869, 2023.
  10. D. Schuster, S.J. van Zelst, and W.M.P. van der Aalst. Cortado: A Dedicated Process Mining Tool for Interactive Process Discovery. SoftwareX, 22:101373, 2023.
  11. W.M.P. van der Aalst. Twin Transitions Powered By Event Data: Using Object-Centric Process Mining To Make Processes Digital and Sustainable. In L. Gomes, P. Leitão, R. Lorenz, J. van der Werf, and S.J. van Zelst, editors, International Workshop on Petri Nets for Twin Transition co-located with the Petri Nets 2023, volume 3424 of CEUR Workshop Proceedings, pages 1-9. CEUR-WS.org, 2023.
  12. A. Küsters and W.M.P. van der Aalst. Revisiting the Alpha Algorithm To Enable Real-Life Process Discovery Applications. In L. Gomes, P. Leitão, R. Lorenz, J. van der Werf, and S.J. van Zelst, editors, Workshop on Algorithms & Theories for the Analysis of Event Data (ATAED 2023), volume 3424 of CEUR Workshop Proceedings, pages 4:1-16. CEUR-WS.org, 2023.
  13. C. Rennert, L.L. Mannel, and W.M.P. van der Aalst. Improving the eST-Miner Models by Replacing Imprecise Structures Using Place Projection. In L. Gomes, P. Leitão, R. Lorenz, J. van der Werf, and S.J. van Zelst, editors, Workshop on Algorithms & Theories for the Analysis of Event Data (ATAED 2023), volume 3424 of CEUR Workshop Proceedings, pages 3:1-17. CEUR-WS.org, 2023.
  14. Y. Zhang and W.M.P. van der Aalst. Explorative Process Discovery Using Activity Projections. In L. Gomes and R. Lorenz, editors, Application and Theory of Petri Nets and Concurrency (Petri Nets 2023), volume 13929 of Lecture Notes in Computer Science, pages 229-239. Springer-Verlag, Berlin, 2023.
  15. T.H. Huang and W.M.P. van der Aalst. Unblocking Inductive Miner While Preserving Desirable Properties. In H. van der Aa, D. Bork, H.A. Proper, and Rainer Schmidt, editors, International Conference on Enterprise, Business-Process and Information Systems Modeling (BPMDS 2023), volume 479 of Lecture Notes in Business Information Processing, pages 327-342. Springer-Verlag, Berlin, 2023.
  16. H.H. Beyel, O. Makke, F. Yuan, O. Gusikhin, and W.M.P. van der Aalst. Analyzing Cyber-Physical Systems in Cars: A Case Study. In O. Gusikhin, S. Hammoudi, and A. Cuzzocrea, editors, Proceedings of the International Conference on Data Science, Technology and Applications (DATA 2023), pages 195-204. SCITEPRESS, 2023.
  17. A.F. Ghahfarokhi, F. Akoochekian, F. Zandkarimi, and W.M.P. van der Aalst. Clustering Object-Centric Event Logs. In O. Gusikhin, S. Hammoudi, and A. Cuzzocrea, editors, Proceedings of the International Conference on Data Science, Technology and Applications (DATA 2023), pages 444-451. SCITEPRESS, 2023.
  18. M. Rafiei, F. Wangelik, M. Pourbafrani, and W.M.P. van der Aalst. TraVaG: Differentially Private Trace Variant Generation Using GANs. In S. Nurcan, A.L. Opdahl, H. Mouratidis, and A. Tsohou, editors, International Conference on Research Challenges in Information Science (RCIS 2023), volume 476 of Lecture Notes in Business Information Processing, pages 415-431. Springer-Verlag, Berlin, 2023.
  19. A. Norouzifar and W.M.P. van der Aalst. Discovering Process Models that Support Desired Behavior and Avoid Undesired Behavior. In J. Hong, M. Lanperne, J.W. Park, T. Cerný, and H. Shahriar, editors, Proceedings of the ACM Symposium on Applied Computing (SAC 2023), pages 365-368. ACM Press, New York, NY, USA, 2023.
  20. M. Martini, D. Schuster, and W.M.P. van der Aalst. Mining Frequent Infix Patterns from Concurrency-Aware Process Execution Variants. Proceedings of the VLDB Endowment, 16(10):2666-2678, 2023.
  21. T.H. Huang and W.M.P. van der Aalst. Comparing Ordering Strategies For Process Discovery Using Synthesis Rules. Computing Research Repository (CoRR) in arXiv, abs/2301.02182, 2023.
  22. T.H. Huang and W.M.P. van der Aalst. Discovering Sound Free-choice Workflow Nets With Non-block Structures. Computing Research Repository (CoRR) in arXiv, abs/2301.02185, 2023.
  23. M. Fani Sani, M. Vazifehdoostirani, G. Park, M. Pegoraro, S.J. van Zelst, and W.M.P. van der Aalst. Performance-Preserving Event Log Sampling for Predictive Monitoring. Computing Research Repository (CoRR) in arXiv, abs/2301.07624, 2023.
  24. A. Norouzifar and W.M.P. van der Aalst. Discovering Process Models that Support Desired Behavior and Avoid Undesired Behavior. Computing Research Repository (CoRR) in arXiv, abs/2302.10984, 2023.
  25. M. Rafiei, F. Wangelik, M. Pourbafrani, and W.M.P. van der Aalst. TraVaG: Differentially Private Trace Variant Generation Using GANs. Computing Research Repository (CoRR) in arXiv, abs/2303.16704, 2023.
  26. L. Liss, J.N. Adams, and W.M.P. van der Aalst. Object-Centric Alignments. Computing Research Repository (CoRR) in arXiv, abs/2305.05113, 2023.
  27. A. Küsters and W.M.P. van der Aalst. Revisiting the Alpha Algorithm To Enable Real-Life Process Discovery Applications - Extended Report. Computing Research Repository (CoRR) in arXiv, abs/2305.17767, 2023.
  28. P. Ceravolo, S. Barbon Junior, E. Damiani, and W.M.P. van der Aalst. Tailoring Machine Learning for Process Mining. Computing Research Repository (CoRR) in arXiv, abs/2306.10341, 2023.
  29. T. Pohl, A. Berti, M.S. Qafari, and W.M.P. van der Aalst. A Collection of Simulated Event Logs for Fairness Assessment in Process Mining. Computing Research Repository (CoRR) in arXiv, abs/2306.11453, 2023.
  30. A. Berti, D. Schuster, and W.M.P. van der Aalst. Abstractions, Scenarios, and Prompt Definitions for Process Mining with LLMs: A Case Study. Computing Research Repository (CoRR) in arXiv, abs/2307.02194, 2023.
  31. Z. Sadeghibogar, A. Berti, M. Pegoraro, and W.M.P. van der Aalst. Applying Process Mining on Scientific Workflows: a Case Study. Computing Research Repository (CoRR) in arXiv, abs/2307.02833, 2023.
  32. B. Bakullari, J. van Thoor, D. Fahland, and W.M.P. van der Aalst. The Interplay Between High-Level Problems and The Process Instances That Give Rise To Them. Computing Research Repository (CoRR) in arXiv, abs/2309.01571, 2023.
  33. M. Rafiei, D. Bayrak, M. Pourbafrani, G. Park, H. Helal, G. Lakemeyer, and W.M.P. van der Aalst. Extracting Rules from Event Data for Study Planning. Computing Research Repository (CoRR) in arXiv, abs/2310.02735, 2023.
  34. G. Park, S. Aydin, C. Ugur, and W.M.P. van der Aalst. Analyzing An After-Sales Service Process Using Object-Centric Process Mining: A Case Study. Computing Research Repository (CoRR) in arXiv, abs/2310.10174, 2023.
  35. J.N. Adams, J. Peeperkorn, T. Brockhoff, I. Terrier, H. Göhner, M.S. Uysal, S. vanden Broucke, J. De Weerdt, and W.M.P. van der Aalst. Discovering High-Quality Process Models Despite Data Scarcity. Computing Research Repository (CoRR) in arXiv, abs/2310.11332, 2023.
  36. I. Sen, D. Assenmacher, M. Samory, I. Augenstein, W.M.P. van der Aalst, and C. Wagner. People Make Better Edits: Measuring the Efficacy of LLM-Generated Counterfactually Augmented Data for Harmful Language Detection. Computing Research Repository (CoRR) in arXiv, abs/2311.01270, 2023.
  37. V. Peeva and W.M.P. van der Aalst. Grouping Local Process Models. Computing Research Repository (CoRR) in arXiv, abs/2311.03040, 2023.
  38. A. Berti, M. Montali, and W.M.P. van der Aalst. Advancements and Challenges in Object-Centric Process Mining: A Systematic Literature Review. Computing Research Repository (CoRR) in arXiv, abs/2311.08795, 2023.
  39. B. Knopp and W.M.P. van der Aalst. Order Management Object-centric Event Log in OCEL 2.0 Standard (Version 1). https://doi.org/10.5281/zenodo.8337464, September 2023.
  40. B. Knopp and W.M.P. van der Aalst. Order Management Object-centric Event Log in OCEL 2.0 Standard (Version 2). https://doi.org/10.5281/zenodo.8428112, September 2023.
  41. C. Brecher, G. Schuh, W.M.P. van der Aalst, M. Jarke, F. Piller, and M. Padberg, editors. Internet of Production: Fundamentals, Methods, and Applications. Springer-Verlag, Berlin, 2023.
  42. C. Brecher, M. Padberg, M. Jarke, W.M.P. van der Aalst, and G. Schuh. The Internet of Production: Interdisciplinary Visions and Concepts for the Production of Tomorrow. In C. Brecher, G. Schuh, W.M.P. van der Aalst, M. Jarke, F. Piller, and M. Padberg, editors, Internet of Production: Fundamentals, Methods, and Applications, pages 3-14. Springer-Verlag, Berlin, 2023.
  43. W.M.P. van der Aalst, M. Jarke, I. Koren, and C. Quix. Digital Shadows: Infrastructuring the Internet of Production. In C. Brecher, G. Schuh, W.M.P. van der Aalst, M. Jarke, F. Piller, and M. Padberg, editors, Internet of Production: Fundamentals, Methods, and Applications, pages 17-33. Springer-Verlag, Berlin, 2023.
  44. M. Behery, P. Brauner, H. Zhou, M.S. Uysal, V. Samsonov, M. Bellgardt, F. Brillowski, T. Brockhoff, A.F. Ghahfarokhi, L. Gleim, L. Gorissen, M. Grochowski, T. Henn, E. Iacomini, T. Kaster, I. Koren, M. Liebenberg, L. Reinsch, L. Tirpitz, M. Trinh, A. Posada-Moreno, L. Liehner, T. Schemmer, L. Vervier, M. Völker, P. Walderich, S. Zhang, C. Brecher, R. Schmitt, S. Decker, T. Gries, C. Häfner, M. Herty, M. Jarke, S. Kowalewski, T. Kuhlen, J. Schleifenbaum, S. Trimpe, W.M.P. van der Aalst, M. Ziefle, and G. Lakemeyer. Actionable Artificial Intelligence for the Future of Production. In C. Brecher, G. Schuh, W.M.P. van der Aalst, M. Jarke, F. Piller, and M. Padberg, editors, Internet of Production: Fundamentals, Methods, and Applications, pages 91-136. Springer-Verlag, Berlin, 2023.
  45. R. Schmitt, R. Kiesel, D. Buschmann, S. Cramer, C. Enslin, M. Fischer, T. Gries, C. Hopmann, L. Huebser, T. Janke, M. Kemmerling, K. Müller, L. Pelzer, M. Perau, M. Pourbafrani, V. Samsonov, P. Schlegel, M. Schopen, G. Schuh, T. Schulze, and W.M.P. van der Aalst. Improving Shop Floor-Near Production Management Through Data-Driven Insights. In C. Brecher, G. Schuh, W.M.P. van der Aalst, M. Jarke, F. Piller, and M. Padberg, editors, Internet of Production: Fundamentals, Methods, and Applications, pages 367-390. Springer-Verlag, Berlin, 2023.
  46. W.M.P. van der Aalst. Object-Centric Process Mining: An Introduction. In A. Cerone, editor, Formal Methods for an Informal World, ICTAC 2021 Summer School, volume 13490 of Lecture Notes in Computer Science, pages 73-105. Springer-Verlag, Berlin, 2023.
  47. C.Y. Li, S.J. van Zelst, and W.M.P. van der Aalst. Event Abstraction for Partial Order Patterns. In C. Di Francescomarino, A. Burattin, C. Janiesch, and S. Sadiq, editors, International Conference on Business Process Management (BPM 2023), volume 14159 of Lecture Notes in Computer Science, pages 38-54. Springer-Verlag, Berlin, 2023.
  48. D. Schuster, N. Föcking, S.J. van Zelst, and W.M.P. van der Aalst. Incremental Discovery of Process Models Using Trace Fragments. In C. Di Francescomarino, A. Burattin, C. Janiesch, and S. Sadiq, editors, International Conference on Business Process Management (BPM 2023), volume 14159 of Lecture Notes in Computer Science, pages 55-73. Springer-Verlag, Berlin, 2023.
  49. G. Engelberg, M. Hadad, M. Pegoraro, P. Soffer, E. Hadar, and W.M.P. van der Aalst. An Uncertainty-Aware Event Log of Network Traffic. In D. Fahland, A. Jiménez-Ramírez, A. Kumar, J. Mendling, B. Pentland, S. Rinderle-Ma, T. Slaats, J. Versendaal, B. Weber, M. Weske, and K. Winter, editors, Proceedings of the Demonstration & Resources Forum, co-located with 21st International Conference on Business Process Management (BPM 2023), volume 3469 of CEUR Workshop Proceedings, pages 67-71. CEUR-WS.org, 2023.
  50. W.M.P. van der Aalst. Experiences from the Internet-of-Production: Using "Data-Models-in-the-Middle" to Fight Complexity and Facilitate Reuse. In J. De Weerdt and L. Pufahl, editors, International Workshop on Business Processes Meet the Internet-of-Things (BP-Meet-IoT 2023), Business Process Management Workshops (BPM 2023), volume 492 of Lecture Notes in Business Information Processing, pages 87-91. Springer-Verlag, Berlin, 2023.
  51. T. Pohl, A. Berti, M.S. Qafari, and W.M.P. van der Aalst. A Collection of Simulated Event Logs for Fairness Assessment in Process Mining. In D. Fahland, A. Jiménez-Ramírez, A. Kumar, J. Mendling, B. Pentland, S. Rinderle-Ma, T. Slaats, J. Versendaal, B. Weber, M. Weske, and K. Winter, editors, Proceedings of the Demonstration & Resources Forum, co-located with 21st International Conference on Business Process Management (BPM 2023), volume 3469 of CEUR Workshop Proceedings, pages 87-91. CEUR-WS.org, 2023.
  52. H.H. Beyel, O. Makke, O. Gusikhin, and W.M.P. van der Aalst. Analyzing Behavior in Cyber-Physical Systems in Connected Vehicles: A Case Study. In J. De Weerdt and L. Pufahl, editors, International Workshop on Business Processes Meet the Internet-of-Things (BP-Meet-IoT 2023), Business Process Management Workshops (BPM 2023), volume 492 of Lecture Notes in Business Information Processing, pages 92-104. Springer-Verlag, Berlin, 2023.
  53. Z. Sadeghibogar, A. Berti, M. Pegoraro, and W.M.P. van der Aalst. SLURMminer: A Tool for SLURM System Analysis with Process Mining. In D. Fahland, A. Jiménez-Ramírez, A. Kumar, J. Mendling, B. T. Pentland, S. Rinderle-Ma, T. Slaats, J. Versendaal, B. Weber, M. Weske, and K. Winter, editors, Proceedings of the Demonstration & Resources Forum, co-located with 21st International Conference on Business Process Management (BPM 2023), volume 3469 of CEUR Workshop Proceedings, pages 97-101. CEUR-WS.org, 2023.
  54. M. Fani Sani, J.J. Garza Gonzalez, S.J. van Zelst, and W.M.P. van der Aalst. Alignment Approximator: A ProM Plug-In to Approximate Conformance Statistics. In D. Fahland, A. Jiménez-Ramírez, A. Kumar, J. Mendling, B. Pentland, S. Rinderle-Ma, T. Slaats, J. Versendaal, B. Weber, M. Weske, and K. Winter, editors, Proceedings of the Demonstration & Resources Forum, co-located with 21st International Conference on Business Process Management (BPM 2023), volume 3469 of CEUR Workshop Proceedings, pages 102-106. CEUR-WS.org, 2023.
  55. E. Goulart Rocha and W.M.P. van der Aalst. Polynomial-Time Conformance Checking for Process Trees. In C. Di Francescomarino, A. Burattin, C. Janiesch, and S. Sadiq, editors, International Conference on Business Process Management (BPM 2023), volume 14159 of Lecture Notes in Computer Science, pages 109-125. Springer-Verlag, Berlin, 2023.
  56. B. Bakullari, J. van Thoor, D. Fahland, and W.M.P. van der Aalst. The Interplay Between High-Level Problems and the Process Instances that Give Rise to Them. In C. Di Francescomarino, A. Burattin, C. Janiesch, and S.W. Sadiq, editors, Business Process Management Forum (BPM 2023), volume 490 of Lecture Notes in Business Information Processing, pages 145-162. Springer-Verlag, Berlin, 2023.
  57. M. Pourbafrani, N. Lücking, M. Lucke, and W.M.P. van der Aalst. Steady State Estimation for Business Process Simulations. In C. Di Francescomarino, A. Burattin, C. Janiesch, and S.W. Sadiq, editors, Business Process Management Forum (BPM 2023), volume 490 of Lecture Notes in Business Information Processing, pages 178-195. Springer-Verlag, Berlin, 2023.
  58. M. Fani Sani, M. Kabierski, S.J. van Zelst, and W.M.P. van der Aalst. Model-Independent Error Bound Estimation for Conformance Checking Approximation. In J. De Weerdt and L. Pufahl, editors, International Workshop on Formal Methods for Business Process Management (FM-BPM 2023), Business Process Management Workshops (BPM 2023), volume 492 of Lecture Notes in Business Information Processing, pages 369-382. Springer-Verlag, Berlin, 2023.
  59. A. Berti, D. Schuster, and W.M.P. van der Aalst. Abstractions, Scenarios, and Prompt Definitions for Process Mining with LLMs: A Case Study. In J. De Weerdt and L. Pufahl, editors, International Workshop on Natural Language Processing for Business Process Management (NLP4BPM 2023), Business Process Management Workshops (BPM 2023), volume 492 of Lecture Notes in Business Information Processing, pages 427-439. Springer-Verlag, Berlin, 2023.
  60. J.N. Adams and W.M.P. van der Aalst. Addressing Convergence, Divergence, and Deficiency Issues. In J. De Weerdt and L. Pufahl, editors, International Workshop of Object-centric Processes from A to Z (OBJECTS 2023), Business Process Management Workshops (BPM 2023), volume 492 of Lecture Notes in Business Information Processing, pages 496-507. Springer-Verlag, Berlin, 2023.
  61. W.M.P. van der Aalst. Learning Colored Petri Nets Using Object-Centric Event Data (OCED2CPN). In M.E. Mohajir, M.A. Achhab, and B.E.E. Mohajir, editors, 7th IEEE Congress on Information Science and Technology (CIST 2023), pages 1-6. IEEE Computer Society, 2023.
  62. C.Y. Li, A. Joshi, N.T.L. Tam, S.S.F. Lau, J. Huang, T. Shinde, and W.M.P. van der Aalst. Rectify Sensor Data in IoT: A Case Study on Enabling Process Mining for Logistic Process in an Air Cargo Terminal. In M. Sellami, M.E. Vidal, B.F. van Dongen, W. Gaaloul, and H. Panetto, editors, International Conference on Cooperative Information Systems (CoopIS 2023), volume 14353 of Lecture Notes in Computer Science, pages 293-310. Springer-Verlag, Berlin, 2023.
  63. M. Pourbafrani and W.M.P. van der Aalst. Data-Driven Simulation In Process Mining: Introducing A Reference Model. In E. Vicario, R. Bandinelli, V. Fani, and M. Mastroianni, editors, Proceedings of the 37th ECMS International Conference on Modelling and Simulation, (ECMS 2023), pages 411-420. European Council for Modeling and Simulation, 2023.
  64. W.M.P. van der Aalst. Toward More Realistic Simulation Models Using Object-Centric Process Mining. In E. Vicario, R. Bandinelli, V. Fani, and M. Mastroianni, editors, Proceedings of the 37th ECMS International Conference on Modelling and Simulation, (ECMS 2023), pages 5-13. European Council for Modeling and Simulation, 2023.
  65. I. Sen, D. Assenmacher, M. Samory, I. Augenstein, W.M.P. van der Aalst, and C. Wagner. People Make Better Edits: Measuring the Efficacy of LLM-Generated Counterfactually Augmented Data for Harmful Language Detection. In H. Bouamor, J. Pino, and K. Bali, editors, Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP 2023), pages 10480-10504. Association for Computational Linguistics, 2023.
  66. J.N. Adams, J. Peeperkorn, T. Brockhoff, I. Terrier, H. Göhner, M.S. Uysal, S. vanden Broucke, J. De Weerdt, and W.M.P. van der Aalst. Discovering High-Quality Process Models Despite Data Scarcity. In C.M. Fonseca, J. Borbinha, G. Guizzardi, D. Aveiro, S. Liaskos, C. Keet, E. Serral, F. Baião, J. Araújo, T. Sales, M. da Silva, S. de Cesare, H.S. Pinto, L. Bellatreche, and S. Hacks, editors, International Conference on Conceptual Modeling (ER2023) Forum, volume 3618 of CEUR Workshop Proceedings. CEUR-WS.org, 2023.
  67. L. Liss, J.N. Adams, and W.M.P. van der Aalst. Object-Centric Alignments. In J. Almeida, J. Borbinha, G. Guizzardi, S. Link, and J. Zdravkovic, editors, International Conference on Conceptual Modeling (ER 2023), volume 14320 of Lecture Notes in Computer Science, pages 201-219. Springer-Verlag, Berlin, 2023.
  68. B. Knopp, M. Pourbafrani, and W.M.P. van der Aalst. Discovering Object-Centric Process Simulation Models. In S. Rinderle-Ma, J. Munoz-Gama, and A. Senderovich, editors, International Conference on Process Mining (ICPM 2023), pages 81-88. IEEE Computer Society, 2023.
  69. H. Kourani, D. Schuster, and W.M.P. van der Aalst. Scalable Discovery of Partially Ordered Workflow Models with Formal Guarantees. In S. Rinderle-Ma, J. Munoz-Gama, and A. Senderovich, editors, International Conference on Process Mining (ICPM 2023), pages 89-96. IEEE Computer Society, 2023.
  70. F.C. Groß, L.L. Mannel, and W.M.P. van der Aalst. Enhancing the Applicability of the eST-Miner: Efficient Precision-Guided Implicit Place Avoidance. In S. Rinderle-Ma, J. Munoz-Gama, and A. Senderovich, editors, International Conference on Process Mining (ICPM 2023), pages 121-128. IEEE Computer Society, 2023.
  71. C.Y. Li, T. Shinde, W. He, S.S.F. Lau, M.X.B. Hiew, N.T.L. Tam, A. Joshi, and W.M.P. van der Aalst. Unveiling Bottlenecks in Logistics: A Case Study on Process Mining for Root Cause Identification and Diagnostics in an Air Cargo Terminal. In F. Monti, S. Rinderle-Ma, A.R. Cortés, Z. Zheng, and M. Mecella, editors, International Conference on Service-Oriented Computing (ICSOC 2023), volume 14420 of Lecture Notes in Computer Science, pages 291-307. Springer-Verlag, Berlin, 2023.
  72. N. Graves, I. Koren, and W.M.P. van der Aalst. ReThink Your Processes! A Review of Process Mining for Sustainability. In International Conference on ICT for Sustainability (ICT4S 2023), pages 164-175. IEEE Computer Society, 2023.
  73. W.M.P. van der Aalst, O. Hinz, and C. Weinhardt. Ranking the Ranker: How to Evaluate Institutions, Researchers, Journals, and Conferences? Business and Information Systems Engineering, 65(6):615-621, 2023.
  74. G. Park, D. Schuster, and W.M.P. van der Aalst. Pattern-Based Action Engine: Generating Process Management Actions Using Temporal Patterns of Process-Centric Problems. Computers in Industry, 153:104020, 2023.
  75. J.N. Adams, G. Park, and W.M.P. van der Aalst. Preserving Complex Object-Centric Graph Structures to Improve Machine Learning Tasks in Process Mining. Engineering Applications of Artificial Intelligence, 125:106764, 2023.
  76. Y. Dwivedi, N. Kshetri, L. Hughes, E. Slade, A. Jeyaraj, A. Kar, A. Baabdullah, A. Koohang, V. Raghavan, M. Ahuja, H. Albanna, M. Albashrawi, A. Al-Busaidi, J. Balakrishnan, Y. Barlette, S. Basu, I. Bose, L. Brooks, D. Buhalis, L. Carter, S. Chowdhury, T. Crick, S. Cunningham, G. Davies, R. Davison, R. De', D. Dennehy, Y. Duan, R. Dubey, R. Dwivedi, J. Edwards, C. Flavián, R. Gauld, V. Grover, M. Hu, M. Janssen, P. Jones, I. Junglas, S. Khorana, S. Kraus, K. Larsen, P. Latreille, S. Laumer, F. Malik, A. Mardani, M. Mariani, S. Mithas, E. Mogaji, J. Nord, S. O'Connor, F. Okumus, M. Pagani, N. Pandey, S. Papagiannidis, I. Pappas, N. Pathak, J. Pries-Heje, R. Raman, N. P. Rana, S. Rehm, S. Ribeiro-Navarrete, A. Richter, F. Rowe, S. Sarker, B. Stahl, M. Tiwari, W.M.P. van der Aalst, V. Venkatesh, G. Viglia, M. Wade, P. Walton, J. Wirtz, and R. Wright. Opinion Paper: "So what if ChatGPT wrote it?" Multidisciplinary perspectives on opportunities, challenges and implications of generative conversational AI for research, practice and policy. International Journal of Information Management, 71:102642, 2023.
  77. M. Fani Sani, M. Vazifehdoostirani, G. Park, M. Pegoraro, S.J. van Zelst, and W.M.P. van der Aalst. Performance-Preserving Event Log Sampling for Predictive Monitoring. Journal of Intelligent Information Systems, 61(1):53-82, 2023.
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  84. W.M.P. van der Aalst. Yet Another View on Citation Scores. LinkedIn Pulse Article (3-1-2023), 2023.
  85. A. Berti, I. Koren, J.N. Adams, G. Park, B. Knopp, N. Graves, M. Rafiei, L. Liß, L. Tacke Genannt Unterberg, Y. Zhang, C. Schwanen, M. Pegoraro, and W.M.P. van der Aalst. OCEL (Object-Centric Event Log) 2.0 Specification. www.ocel-standard.org, 2023.
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