Wil's References for the year 2022!

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. M. Pourbafrani and W.M.P. van der Aalst. Discovering System Dynamics Simulation Models Using Process Mining. IEEE Access, 10:78527-78547, 2022.
  2. C. Mihale-Wilson, O. Hinz, W.M.P. van der Aalst, and C. Weinhardt. Corporate Digital Responsibility. Business and Information Systems Engineering, 64(2):127-132, 2022.
  3. W.M.P. van der Aalst and J. Carmona, editors. Process Mining Handbook, volume 448 of Lecture Notes in Business Information Processing. Springer-Verlag, Berlin, 2022. (Open Access)
  4. M. Pourbafrani and W.M.P. van der Aalst. Interactive Process Improvement using Simulation of Enriched Process Trees. Computing Research Repository (CoRR) in arXiv, abs/2201.07755, 2022.
  5. M. Pegoraro, M.B.S. Narayana, E. Benevento, W.M.P. van der Aalst, L. Martin, and G. Marx. Analyzing Medical Data with Process Mining: a COVID-19 Case Study. Computing Research Repository (CoRR) in arXiv, abs/2202.04625, 2022.
  6. A. Berti, A.F. Ghahfarokhi, G. Park, and W.M.P. van der Aalst. A Scalable Database for the Storage of Object-Centric Event Logs. Computing Research Repository (CoRR) in arXiv, abs/2202.05639, 2022.
  7. A.F. Ghahfarokhi and W.M.P. van der Aalst. A Python Tool for Object-Centric Process Mining Comparison. Computing Research Repository (CoRR) in arXiv, abs/2202.05709, 2022.
  8. W.M.P. van der Aalst. How to Write Beautiful Process-and-Data-Science Papers? Computing Research Repository (CoRR) in arXiv, abs/2203.09286, 2022.
  9. G. Park, M. Comuzzi, and W.M.P. van der Aalst. Analyzing Process-Aware Information System Updates Using Digital Twins of Organizations. Computing Research Repository (CoRR) in arXiv, abs/2203.12969, 2022.
  10. M.B.S. Narayana, E. Benevento, M. Pegoraro, M. Abdullah, R.B. Shahid, Q. Sajid, M.U. Mansoor, and W.M.P. van der Aalst. A Web-Based Tool for Comparative Process Mining. Computing Research Repository (CoRR) in arXiv, abs/2204.00547, 2022.
  11. M.F. Sani, M. Vazifehdoostirani, G. Park, M. Pegoraro, S.J. van Zelst, and W.M.P. van der Aalst. Event Log Sampling for Predictive Monitoring. Computing Research Repository (CoRR) in arXiv, abs/2204.01470, 2022.
  12. M. Pegoraro, M.S. Uysal, and W.M.P. van der Aalst. An XES Extension for Uncertain Event Data. Computing Research Repository (CoRR) in arXiv, abs/2204.04135, 2022.
  13. M. Pegoraro, M.S. Uysal, T.H. Hülsmann, and W.M.P. van der Aalst. Uncertain Case Identifiers in Process Mining: A User Study of the Event-Case Correlation Problem on Click Data. Computing Research Repository (CoRR) in arXiv, abs/2204.04164, 2022.
  14. A. Berti, M.P. Nghia, and W.M.P. van der Aalst. PM4Py-GPU: a High-Performance General-Purpose Library for Process Mining. Computing Research Repository (CoRR) in arXiv, abs/2204.04898, 2022.
  15. G. Park, J.N. Adams, and W.M.P. van der Aalst. OPerA: Object-Centric Performance Analysis. Computing Research Repository (CoRR) in arXiv, abs/2204.10662, 2022.
  16. W.M.P. van der Aalst. Six Levels of Autonomous Process Execution Management (APEM). Computing Research Repository (CoRR) in arXiv, abs/2204.11328, 2022.
  17. G. Park, J.V. Benzin, and W.M.P. van der Aalst. Detecting Context-Aware Deviations in Process Executions. Computing Research Repository (CoRR) in arXiv, abs/2206.05532, 2022.
  18. T. Rohrer, A.F. Ghahfarokhi, M. Behery, G. Lakemeyer, and W.M.P. van der Aalst. Predictive Object-Centric Process Monitoring. Computing Research Repository (CoRR) in arXiv, abs/2207.10017, 2022.
  19. A.F. Ghahfarokhi, F. Akoochekian, F. Zandkarimi, and W.M.P. van der Aalst. Clustering Object-Centric Event Logs. Computing Research Repository (CoRR) in arXiv, abs/2207.12764, 2022.
  20. M. Rafiei, G. Elkoumy, and W.M.P. van der Aalst. Quantifying Temporal Privacy Leakage in Continuous Event Data Publishing. Computing Research Repository (CoRR) in arXiv, abs/2208.01886, 2022.
  21. J.N. Adams, D. Schuster, S. Schmitz, G. Schuh, and W.M.P. van der Aalst. Defining Cases and Variants for Object-Centric Event Data. Computing Research Repository (CoRR) in arXiv, abs/2208.03235, 2022.
  22. C. Kohlschmidt, M.S. Qafari, and W.M.P. van der Aalst. Detecting Surprising Situations in Event Data. Computing Research Repository (CoRR) in arXiv, abs/2208.13515, 2022.
  23. J.N. Adams, G. Park, S. Levich, D. Schuster, and W.M.P. van der Aalst. A Framework for Extracting and Encoding Features from Object-Centric Event Data. Computing Research Repository (CoRR) in arXiv, abs/2209.01219, 2022.
  24. D. Schuster, N. Föcking, S.J. van Zelst, and W.M.P. van der Aalst. Conformance Checking for Trace Fragments Using Infix and Postfix Alignments. Computing Research Repository (CoRR) in arXiv, abs/2209.04290, 2022.
  25. A. Berti and W.M.P. van der Aalst. OC-PM: Analyzing Object-Centric Event Logs and Process Models. Computing Research Repository (CoRR) in arXiv, abs/2209.09725, 2022.
  26. E. Benevento, M. Pegoraro, M. Antoniazzi, H. Beyel, V. Peeva, P. Balfanz, W.M.P. van der Aalst, L. Martin, and G. Marx. Process Modeling and Conformance Checking in Healthcare: A COVID-19 Case Study. Computing Research Repository (CoRR) in arXiv, abs/2209.10897, 2022.
  27. G. Park and W.M.P. van der Aalst. Monitoring Constraints in Business Processes Using Object-Centric Constraint Graphs. Computing Research Repository (CoRR) in arXiv, abs/2210.12080, 2022.
  28. M. Rafiei, F. Wangelik, and W.M.P. van der Aalst. TraVaS: Differentially Private Trace Variant Selection for Process Mining. Computing Research Repository (CoRR) in arXiv, abs/2210.14951, 2022.
  29. G. Park, A. Küsters, M. Tews, C. Pitsch, J. Schneider, and W.M.P. van der Aalst. Explainable Predictive Decision Mining for Operational Support. Computing Research Repository (CoRR) in arXiv, abs/2210.16786, 2022.
  30. B. Bakullari and W.M.P. van der Aalst. High-Level Event Mining: A Framework. Computing Research Repository (CoRR) in arXiv, abs/2211.00006, 2022.
  31. D. Schuster, M. Martini, S.J. van Zelst, and W.M.P. van der Aalst. Control-Flow-Based Querying of Process Executions from Partially Ordered Event Data. Computing Research Repository (CoRR) in arXiv, abs/2211.04146, 2022.
  32. M. Wagner, H. Helal, R. Roepke, S. Judel, J. Doveren, S. Görzen, P. Soudmand, G. Lakemeyer, U. Schroeder, and W.M.P. van der Aalst. A Combined Approach of Process Mining and Rule-based AI for Study Planning and Monitoring in Higher Education. Computing Research Repository (CoRR) in arXiv, abs/2211.12190, 2022.
  33. M. Pegoraro, M.S. Uysal, T.H. Hülsmann, and W.M.P. van der Aalst. Resolving Uncertain Case Identifiers in Interaction Logs: A User Study. Computing Research Repository (CoRR) in arXiv, abs/2212.00009, 2022.
  34. A. Goossens, J. De Smedt, J. Vanthienen, and W.M.P. van der Aalst. Enhancing Data-Awareness of Object-Centric Event Logs. Computing Research Repository (CoRR) in arXiv, abs/2212.02858, 2022.
  35. W.M.P. van der Aalst. Na zelfrijdende auto's ook zelfsturende organisaties? Stichting Beste-ID, Uitgave 2022, www.beste-id.nl, 2022.
  36. C. Peukert, C. Weinhardt, O. Hinz, and W.M.P. van der Aalst. Metaverse: How to Approach Its Challenges from a BISE Perspective. Business and Information Systems Engineering, 64(4):401-406, 2022.
  37. A. Sunyaev, C. Weinhardt, W.M.P. van der Aalst, and O. Hinz. BISE Student: From Desk Drawer to Center Stage - Highlighting the Value of Student Theses. Business and Information Systems Engineering, 64(6):701-706, 2022.
  38. D. Schuster, S.J. van Zelst, and W.M.P. van der Aalst. Utilizing Domain Knowledge in Data-Driven Process Discovery: A Literature Review. Computers in Industry, 137:103612, 2022.
  39. J. Yang, C. Ouyang, W.M.P. van der Aalst, A.H.M. ter Hofstede, and Y. Yu. OrdinoR: A Framework for Discovering, Evaluating, and Analyzing Organizational Models Using Event Logs. Decision Support Systems, 158:113771, 2022.
  40. V. Bloemen, S.J. van Zelst, W.M.P. van der Aalst, B.F. van Dongen, and J. van de Pol. Aligning Observed and Modelled Behaviour by Maximizing Synchronous Moves and Using Milestones. Information Systems, 103:101456, 2022.
  41. V. Pasquadibisceglie, A. Appice, G. Castellano, and W.M.P. van der Aalst. PROMISE: Coupling Predictive Process Mining to Process Discovery. Information Sciences, 606:250-271, 2022.
  42. J.N. Adams, G. Park, and W.M.P. van der Aalst. ocpa: A Python Library for Object-Centric Process Analysis. Software Impacts, 14:100438, 2022.
  43. J. Munoz-Gama, N. Martin, C. Fernandez-Llatas, O. Johnson, M. Sepulveda, E. Helm, V. Galvez-Yanjari, E. Rojas, A. Martinez-Millana, D. Aloiniand I.A. Amantea, R. Andrews, M. Arias, I. Beerepoot, E. Benevento, A.Burattin, D. Capurro, J. Carmona, M. Comuzzi, B. Dalmas, R. de la Fuente, C. Di Francescomarino, C. Di Ciccio, R. Gatta, C. Ghidini, F. Gonzalez-Lopez, G. Ibanez-Sanchez, H. Klasky, A.P. Kurniati, X. Lu, F. Mannhardt, R. Mans, M. Marcos, R.M. de Carvalho, M. Pegoraro, S. Poon, L. Pufahl, H. Reijers, S. Remy, S. Rinderle-Ma, L. Sacchi, F. Seoane, M. Song, A. Stefanini, E. Sulis, A.H.M. ter Hofstede, P. Toussaint, V. Traver, Z. Valero-Ramon, I. van de Weerd, W.M.P. van der Aalst, R.J.B. Vanwersch, M. Weske, M.T. Wynn, and F.Zerbato. Process Mining for Healthcare: Characteristics and Challenges. Journal of Biomedical Informatics, 127:103994, 2022.
  44. A. Cuzzocrea, O. Gusikhin, W.M.P. van der Aalst, and S. Hammoudi, editors. Proceedings of the 11th International Conference on Data Science, Technology and Applications (DATA 2022). SCITEPRESS, 2022.
  45. E. Benevento, D. Aloini, and W.M.P. van der Aalst. How Can Interactive Process Discovery Address Data Quality Issues in Real Business Settings? Evidence from a Case Study in Healthcare. Journal of Biomedical Informatics, 130:104083, 2022.
  46. P. Brauner, M. Dalibor, M. Jarke, I. Kunze, I. Koren, G. Lakemeyer, M. Liebenberg, J. Michael, J. Pennekamp, C. Quix, B. Rumpe, W.M.P. van der Aalst, K. Wehrle, A. Wortmann, and M. Ziefle. A Computer Science Perspective on Digital Transformation in Production. ACM Transactions on Internet of Things, 3(2):15:1-15:32, 2022.
  47. E.G.L. de Murillas, H.A. Reijers, and W.M.P. van der Aalst. Data-Aware Process Oriented Query Language. In A. Polyvyanyy, editor, Process Querying Methods, pages 49-83. Springer-Verlag, Berlin, 2022.
  48. J.N. Adams and W.M.P. van der Aalst. OCpi: Object-Centric Process Insights. In L. Bernardinello and L. Petrucci, editors, Application and Theory of Petri Nets and Concurrency (Petri Nets 2022), volume 13288 of Lecture Notes in Computer Science, pages 139-150, 2022.
  49. L.L. Mannel and W.M.P. van der Aalst. Discovering Process Models with Long-Term Dependencies While Providing Guarantees and Handling Infrequent Behavior. In L. Bernardinello and L. Petrucci, editors, Application and Theory of Petri Nets and Concurrency (Petri Nets 2022), volume 13288 of Lecture Notes in Computer Science, pages 303-324, 2022.
  50. V. Peeva, L.L. Mannel, and W.M.P. van der Aalst. From Place Nets to Local Process Models. In L. Bernardinello and L. Petrucci, editors, Application and Theory of Petri Nets and Concurrency (Petri Nets 2022), volume 13288 of Lecture Notes in Computer Science, pages 346-368, 2022.
  51. W.M.P. van der Aalst. Discovering Directly-Follows Complete Petri Nets from Event Data. In N. Jansen, M. Stoelinga, and P. van den Bos, editors, A Journey from Process Algebra via Timed Automata to Model Learning: Essays Dedicated to Frits Vaandrager on the Occasion of His 60th Birthday, volume 13560 of Lecture Notes in Computer Science, pages 539-558, 2022.
  52. J. Yang, C. Ouyang, A.H.M. ter Hofstede, and W.M.P. van der Aalst. No Time to Dice: Learning Execution Contexts from Event Logs for Resource-Oriented Process Mining. In C. Di Ciccio, R.M. Dijkman, A. del Rio-Ortega, and S. Rinderle-Ma, editors, International Conference on Business Process Management (BPM 2022), volume 13420 of Lecture Notes in Computer Science, pages 163-180. Springer-Verlag, Berlin, 2022.
  53. G. Park, J.V. Benzin, and W.M.P. van der Aalst. Detecting Context-Aware Deviations in Process Executions. In C. Di Ciccio, R.M. Dijkman, A. del Rio-Ortega, and S. Rinderle-Ma, editors, Business Process Management Forum (BPM Forum 2022), volume 458 of Lecture Notes in Business Information Processing, pages 190-206. Springer-Verlag, Berlin, 2022.
  54. M. Pegoraro, M.S. Uysal, T.H. Hülsmann, and W.M.P. van der Aalst. Uncertain Case Identifiers in Process Mining: A User Study of the Event-Case Correlation Problem on Click Data. In A. Augusto, A. Gill, D. Bork, S. Nurcan, I. Reinhartz-Berger, and R. Schmidt, editors, Enterprise, Business-Process and Information Systems Modeling (EMMSAD 2022), volume 450 of Lecture Notes in Business Information Processing, pages 173-187. Springer-Verlag, Berlin, 2022.
  55. D. Schuster, L. Schade, S.J. van Zelst, and W.M.P. van der Aalst. Temporal Performance Analysis for Block-Structured Process Models in Cortado. In J. De Weerdt and A. Polyvyanyy, editors, Intelligent Information Systems (CAiSE Forum 2022), volume 452 of Lecture Notes in Business Information Processing, pages 110-119. Springer-Verlag, Berlin, 2022.
  56. M. Rafiei, G. Elkoumy, and W.M.P. van der Aalst. Quantifying Temporal Privacy Leakage in Continuous Event Data Publishing. In M. Sellami, P. Ceravolo, H. Reijers, W. Gaaloul, and H. Panetto, editors, International Conference on Cooperative Information Systems (CoopIS 2022), volume 13591 of Lecture Notes in Computer Science, pages 75-94. Springer-Verlag, Berlin, 2022.
  57. D. Schuster, N. Föcking, S.J. van Zelst, and W.M.P. van der Aalst. Conformance Checking for Trace Fragments Using Infix and Postfix Alignments. In M. Sellami, P. Ceravolo, H. Reijers, W. Gaaloul, and H. Panetto, editors, International Conference on Cooperative Information Systems (CoopIS 2022), volume 13591 of Lecture Notes in Computer Science, pages 299-310. Springer-Verlag, Berlin, 2022.
  58. T.H. Huang and W.M.P. van der Aalst. Discovering Sound Free-Choice Workflow Nets with Non-block Structures. In J.P.A. Almeida, D. Karastoyanova, G. Guizzardi, M. Montali, F.M. Maggi, and C.M. Fonseca, editors, Enterprise Design, Operations, and Computing (EDOC 2022), volume 13585 of Lecture Notes in Computer Science, pages 200-216. Springer-Verlag, Berlin, 2022.
  59. J.N. Adams G. Park and W.M.P. van der Aalst. OPerA: Object-Centric Performance Analysis. In J.Ralyté, S. Chakravarthy, M. Mohania, M.A. Jeusfeld, and K. Karlapalem, editors, International Conference on Conceptual Modeling (ER 2022), volume 13607 of Lecture Notes in Computer Science, pages 281-292. Springer-Verlag, Berlin, 2022.
  60. M. Pourbafrani, F. Gharbi, and W.M.P. van der Aalst. Process Diagnostics at Coarse-grained Levels. In J. Filipe, M. Smialek, A. Brodsky, and S. Hammoudi, editors, International Conference on Enterprise Information Systems (ICEIS 2022), pages 484-491. SCITEPRESS, 2022.
  61. J. Weber, G. Park, M. Rafiei, and W.M.P. van der Aalst. Interactive Process Identification and Selection from SAP ERP. In M. Hassani, A. Koschmider, M. Comuzzi, F.M. Maggi, and L. Pufahl, editors, Proceedings of the ICPM Doctoral Consortium and Demo Track (ICPM 2022), volume 3299 of CEUR Workshop Proceedings, pages 61-64. CEUR-WS.org, 2022.
  62. D. Schuster, M. Martini, S.J. van Zelst, and W.M.P. van der Aalst. Control-Flow-Based Querying of Process Executions from Partially Ordered Event Data. In J. Troya, B.Medjahed, M.Piattini, L. Yao, P. Fernández, and A. Ruiz-Cortés, editors, International Conference on Service-Oriented Computing (ICSOC 2022), volume 13740 of Lecture Notes in Computer Science, pages 19-35. Springer-Verlag, Berlin, 2022.
  63. J.N. Adams, G. Park, S. Levich, D. Schuster, and W.M.P. van der Aalst. A Framework for Extracting and Encoding Features from Object-Centric Event Data. In J. Troya, B.Medjahed, M.Piattini, L. Yao, P. Fernández, and A. Ruiz-Cortés, editors, International Conference on Service-Oriented Computing (ICSOC 2022), volume 13740 of Lecture Notes in Computer Science, pages 36-53. Springer-Verlag, Berlin, 2022.
  64. D. Schuster, E. Domnitsch, S.J. van Zelst, and W.M.P. van der Aalst. A Generic Trace Ordering Framework for Incremental Process Discovery. In T. Bouadi, E. Fromont, and E. Hüllermeier, editors, Advances in Intelligent Data Analysis (IDA 2022), volume 13205 of Lecture Notes in Computer Science, pages 264-277. Springer-Verlag, Berlin, 2022.
  65. T. Brockhoff, M.S.Uysal, and W.M.P. van der Aalst. Modeling Digital Shadows in Manufacturing by Using Process Mining. In J. Michael, J. Pfeiffer, and A. Wortmann, editors, Modellierung 2022, pages 133-138. Gesellschaft für Informatik e.V., 2022.
  66. G. Park, M. Comuzzi, and W.M.P. van der Aalst. Analyzing Process-Aware Information System Updates Using Digital Twins of Organizations. In R.S.S. Guizzardi, J. Ralyté, and X. Franch, editors, International Conference on Research Challenges in Information Science (RCIS 2022), volume 446 of Lecture Notes in Business Information Processing, pages 159-176. Springer-Verlag, Berlin, 2022.
  67. M. Pourbafrani and W.M.P. van der Aalst. Hybrid Business Process Simulation: Updating Detailed Process Simulation Models Using High-Level Simulations. In R.S.S. Guizzardi, J. Ralyté, and X. Franch, editors, International Conference on Research Challenges in Information Science (RCIS 2022), volume 446 of Lecture Notes in Business Information Processing, pages 177-194. Springer-Verlag, Berlin, 2022.
  68. A. Berti, M.P. Nghia, and W.M.P. van der Aalst. PM4Py-GPU: A High-Performance General-Purpose Library for Process Mining. In R.S.S. Guizzardi, J. Ralyté, and X. Franch, editors, International Conference on Research Challenges in Information Science (RCIS 2022), volume 446 of Lecture Notes in Business Information Processing, pages 727-734. Springer-Verlag, Berlin, 2022.
  69. M. Pourbafrani, M. Rafiei, A. Berti, and W.M.P. van der Aalst. Interactive Business Process Comparison Using Conformance and Performance Insights - A Tool. In R.S.S. Guizzardi, J. Ralyté, and X. Franch, editors, International Conference on Research Challenges in Information Science (RCIS 2022), volume 446 of Lecture Notes in Business Information Processing, pages 735-743. Springer-Verlag, Berlin, 2022.
  70. W.M.P. van der Aalst. Process Mining: A 360 Degrees Overview. In W.M.P. van der Aalst and J. Carmona, editors, Process Mining Handbook, volume 448 of Lecture Notes in Business Information Processing, pages 3-34. Springer-Verlag, Berlin, 2022.
  71. W.M.P. van der Aalst. Foundations of Process Discovery. In W.M.P. van der Aalst and J. Carmona, editors, Process Mining Handbook, volume 448 of Lecture Notes in Business Information Processing, pages 37-75. Springer-Verlag, Berlin, 2022.
  72. W.M.P. van der Aalst and J. Carmona. Scaling Process Mining to Turn Insights Into Actions. In W.M.P. van der Aalst and J. Carmona, editors, Process Mining Handbook, volume 448 of Lecture Notes in Business Information Processing, pages 495-502. Springer-Verlag, Berlin, 2022.
  73. A.T. Burke, S.J.J. Leemans, M.T. Wynn, W.M.P. van der Aalst, and A.H.M. ter Hofstede. Stochastic Process Model-Log Quality Dimensions: An Experimental Study. In A. Burattin, A. Polyvyanyy, and B. Weber, editors, International Conference on Process Mining (ICPM 2022), pages 80-87. IEEE, 2022.
  74. J.N. Adams, D. Schuster, S. Schmitz, G. Schuh, and W.M.P. van der Aalst. Defining Cases and Variants for Object-Centric Event Data. In A. Burattin, A. Polyvyanyy, and B. Weber, editors, International Conference on Process Mining (ICPM 2022), pages 128-143. IEEE, 2022.
  75. B. Bakullari and W.M.P. van der Aalst. High-Level Event Mining: A Framework. In A. Burattin, A. Polyvyanyy, and B. Weber, editors, International Conference on Process Mining (ICPM 2022), pages 136-143. IEEE, 2022.
  76. W.M.P. van der Aalst. European Leadership in Process Management. Communications of the ACM, 65(4):80-83, 2022.