Wil's References for the year 2021!

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, T. Brockhoff, A. Farhang, M. Pourbafrani, M.S. Uysal, and S. J. van Zelst. Removing Operational Friction Using Process Mining: Challenges Provided by the Internet of Production (IoP). In S. Hammoudi and C. Quix, editors, Data Management Technologies and Applications, volume 1446 of Communications in Computer and Information Science, pages 1-31. Springer-Verlag, Berlin, 2021.
  2. M. Rafiei and W.M.P. van der Aalst. Privacy-Preserving Data Publishing in Process Mining. Computing Research Repository (CoRR) in arXiv, abs/2101.02627, 2021.
  3. M. Pourbafrani, S. Vasudevan, F. Zafar, Y. Xingran, R. Singh, and W.M.P. van der Aalst. A Python Extension to Simulate Petri nets in Process Mining. Computing Research Repository (CoRR) in arXiv, abs/2102.08774, 2021.
  4. M.S. Qafari and W.M.P. van der Aalst. Case Level Counterfactual Reasoning in Process Mining. Computing Research Repository (CoRR) in arXiv, abs/2102.13490, 2021.
  5. D. Fahland, V. Denisov, and W.M.P. van der Aalst. Inferring Unobserved Events in Systems With Shared Resources and Queues. Computing Research Repository (CoRR) in arXiv, abs/2103.00167, 2021.
  6. M. Pegoraro, M.S. Uysal, and W.M.P. van der Aalst. PROVED: A Tool for Graph Representation and Analysis of Uncertain Event Data. Computing Research Repository (CoRR) in arXiv, abs/2103.05564, 2021.
  7. A. Farhang Ghahfarokhi, A. Berti, and W.M.P. van der Aalst. Process Comparison Using Object-Centric Process Cubes. Computing Research Repository (CoRR) in arXiv, abs/2103.07184, 2021.
  8. 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. Computing Research Repository (CoRR) in arXiv, abs/2103.13315, 2021.
  9. M. Pegoraro, M.S. Uysal, D.B. Georgi, and W.M.P. van der Aalst. Text-Aware Predictive Monitoring of Business Processes. Computing Research Repository (CoRR) in arXiv, abs/2104.09962, 2021.
  10. D. Schuster, S.J. van Zelst, and W.M.P. van der Aalst. Cortado: An Interactive Tool for Data-Driven Process Discovery and Modeling. Computing Research Repository (CoRR) in arXiv, abs/2105.07666, 2021.
  11. M. Rafiei and W.M.P. van der Aalst. Group-Based Privacy Preservation Techniques for Process Mining. Computing Research Repository (CoRR) in arXiv, abs/2105.11983, 2021.
  12. M. Rafiei and W.M.P. van der Aalst. Privacy-Preserving Continuous Event Data Publishing. Computing Research Repository (CoRR) in arXiv, abs/2105.11991, 2021.
  13. J.N. Adams, S.J. van Zelst, L. Quack, K. Hausmann, W.M.P. van der Aalst, and T. Rose. A Framework for Explainable Concept Drift Detection in Process Mining. Computing Research Repository (CoRR) in arXiv, abs/2105.13155, 2021.
  14. W.M.P. van der Aalst. Free-Choice Nets With Home Clusters Are Lucent. Computing Research Repository (CoRR) in arXiv, abs/2106.03554, 2021.
  15. W.M.P. van der Aalst. Reduction Using Induced Subnets To Systematically Prove Properties For Free-Choice Nets. Computing Research Repository (CoRR) in arXiv, abs/2106.03658, 2021.
  16. W.M.P. van der Aalst and L.F.R. Santos. May I Take Your Order? On the Interplay Between Time and Order in Process Mining. Computing Research Repository (CoRR) in arXiv, abs/2107.03937, 2021.
  17. W.M.P. van der Aalst, T. Brockhoff, A. Farhang Ghahfarokhi, M. Pourbafrani, M.S. Uysal, and S.J. van Zelst. Removing Operational Friction Using Process Mining: Challenges Provided by the Internet of Production (IoP). Computing Research Repository (CoRR) in arXiv, abs/2107.13066, 2021.
  18. M. Rafiei and W.M.P. van der Aalst. PC4PM: A Tool for Privacy/Confidentiality Preservation in Process Mining. Computing Research Repository (CoRR) in arXiv, abs/2107.14499, 2021.
  19. D. Schuster, S.J. van Zelst, and W.M.P. van der Aalst. Freezing Sub-Models During Incremental Process Discovery (Extended Version). Computing Research Repository (CoRR) in arXiv, abs/2108.00215, 2021.
  20. M. Pourbafrani, S. Jiao, and W.M.P. van der Aalst. SIMPT: Process Improvement Using Interactive Simulation of Time-aware Process Trees. Computing Research Repository (CoRR) in arXiv, abs/2108.02052, 2021.
  21. M.S. Qafari and W.M.P. van der Aalst. Feature Recommendation for Structural Equation Model Discovery in Process Mining. Computing Research Repository (CoRR) in arXiv, abs/2108.07795, 2021.
  22. M. Pegoraro, B. Bakullari, M.S. Uysal, and W.M.P. van der Aalst. Probability Estimation of Uncertain Process Trace Realizations. Computing Research Repository (CoRR) in arXiv, abs/2108.08615, 2021.
  23. D. Schuster, L. Schade, S.J. van Zelst, and W.M.P. van der Aalst. Visualizing Trace Variants From Partially Ordered Event Data. Computing Research Repository (CoRR) in arXiv, abs/2110.02060, 2021.
  24. A. Pery, M. Rafiei, M. Simon, and W.M.P. van der Aalst. Trustworthy Artificial Intelligence and Process Mining: Challenges and Opportunities. Computing Research Repository (CoRR) in arXiv, abs/2110.02707, 2021.
  25. A. Berti, G. Park, M. Rafiei, and W.M.P. van der Aalst. An Event Data Extraction Approach from SAP ERP for Process Mining. Computing Research Repository (CoRR) in arXiv, abs/2110.03467, 2021.
  26. J.N. Adams and W.M.P. van der Aalst. Precision and Fitness in Object-Centric Process Mining. Computing Research Repository (CoRR) in arXiv, abs/2110.05375, 2021.
  27. W.M.P. van der Aalst. Process mining and RPA. In C. Czarnecki and P. Fettke, editors, Robotic Process Automation: Management, Technology, Applications, pages 223-242. De Gruyter STEM, 2021.
  28. W.M.P. van der Aalst. Hybrid Intelligence: To Automate or Not to Automate, That is the Question. International Journal of Information Systems and Project Management, 9(2):5-20, 2021.
  29. W.M.P. van der Aalst. Reduction Using Induced Subnets to Systematically Prove Properties for Free-Choice Nets. In D. Buchs and J. Carmona, editors, Applications and Theory of Petri Nets and Concurrency (PN 2021), volume 12734 of Lecture Notes in Computer Science, pages 208-229. Springer-Verlag, Berlin, 2021.
  30. W.M.P. van der Aalst. Free-Choice Nets With Home Clusters Are Lucent. Fundamenta Informaticae, 181(4):273-302, 2021.
  31. M. Sadat Qafari and W.M.P. van der Aalst. Case Level Counterfactual Reasoning in Process Mining. In S. Nurcan and A. Korthaus, editors, Intelligence Information Systems (Caise Forum 2021), volume 425 of Lecture Notes in Business Information Processing, pages 55-63. Springer-Verlag, Berlin, 2021.
  32. S.J. van Zelst, L.F.R. Santos, and W.M.P. van der Aalst. Data-Driven Process Performance Measurement and Prediction: A Process-Tree-Based Approach. In S. Nurcan and A. Korthaus, editors, Intelligence Information Systems (Caise Forum 2021), volume 425 of Lecture Notes in Business Information Processing, pages 73-81. Springer-Verlag, Berlin, 2021.
  33. M. Pourbafrani and W.M.P. van der Aalst. Extracting Process Features from Event Logs to Learn Coarse-Grained Simulation Models. In M. La Rosa, S. Sadiq, and E. Teniente, editors, International Conference on Advanced Information Systems Engineering (CAiSE 2021), volume 12751 of Lecture Notes in Computer Science, pages 125-140. Springer-Verlag, Berlin, 2021.
  34. G. Park and W.M.P. van der Aalst. Towards Reliable Business Process Simulation: A Framework to Integrate ERP Systems. In A. Augusto, A. Gill, S. Nurcan, I. Reinhartz-Berger, R. Schmidt, and J. Zdravkovic, editors, Enterprise, Business-Process and Information Systems Modeling (BPMDS 2021), volume 421 of Lecture Notes in Business Information Processing, pages 112-127. Springer-Verlag, Berlin, 2021.
  35. D. Schuster and S.J. van Zelst W.M.P. van der Aalst. Cortado: An Interactive Tool for Data-Driven Process Discovery and Modeling. In D. Buchs and J. Carmona, editors, Applications and Theory of Petri Nets and Concurrency (PN 2021), volume 12734 of Lecture Notes in Computer Science, pages 465-475. Springer-Verlag, Berlin, 2021.
  36. M. Pegoraro, M.S. Uysal, and W.M.P. van der Aalst. PROVED: A Tool for Graph Representation and Analysis of Uncertain Event Data. In D. Buchs and J. Carmona, editors, Applications and Theory of Petri Nets and Concurrency (PN 2021), volume 12734 of Lecture Notes in Computer Science, pages 476-486. Springer-Verlag, Berlin, 2021.
  37. W.M.P. van der Aalst. Concurrency and Objects Matter! Disentangling the Fabric of Real Operational Processes to Create Digital Twins. In A. Cerone and P. Olveczky, editors, International Colloquium on Theoretical Aspects of Computing (ICTAC 2021), volume 12819 of Lecture Notes in Computer Science, pages 3-17. Springer-Verlag, Berlin, 2021.
  38. W.M.P. van der Aalst. Using Free-Choice Nets for Process Mining and Business Process Management. In M. Ganzha, L.A. Maciaszek, M. Paprzycki, and D. Slezak, editors, Federated Conference on Computer Science and Information Systems (FedCSIS 2021), volume 25 of Annals of Computer Science and Information Systems, pages 9-15. IEEE Computer Society, 2021.
  39. W.M.P. van der Aalst. Interview in the 2021 Gartner Market Guide for Process Mining, Research Note G00737056. www.gartner.com, 2021.
  40. W.M.P. van der Aalst. Die Geschichte des Process Mining. ManagerWissen: Special Prozessautomatisierung, 06/2021:12-13, 2021.
  41. J. vom Brocke, W.M.P van der Aalst, T. Grisold, W. Kremser, J. Mendling, B. Pentland, J. Recker, M. Roeglinger, M. Rosemann, and B. Weber. Process Science: The Interdisciplinary Study of Continuous Change. Available via SSRN: http://ssrn.com/abstract=3916817, 2021.
  42. A.F. Ghahfarokhi, G. Park, A. Berti, and W.M.P. van der Aalst. OCEL: A Standard for Object-Centric Event Logs. In L. Bellatreche, M. Dumas, and P. Karras, editors, New Trends in Database and Information Systems (Short Papers ADBIS 2021), volume 1450 of Communications in Computer and Information Science, pages 169-175. Springer-Verlag, Berlin, 2021.
  43. M.S. Uysal, D. Hüser, and W.M.P. van der Aalst. Optimization-Based Business Process Model Matching. In W. Abramowicz, S. Auer, and E. Lewanska, editors, International Conference on Business Information Systems (BIS 2021), pages 61-72, 2021.
  44. M. Pegoraro, M.S. Uysal, D.B. Georgi, and W.M.P. van der Aalst. Text-Aware Predictive Monitoring of Business Processes. In W. Abramowicz, S. Auer, and E. Lewanska, editors, International Conference on Business Information Systems (BIS 2021), pages 221-232, 2021.
  45. M. Pourbafrani and W.M.P. van der Aalst. Forward-Looking Process Mining. In W.M.P. van der Aalst Aalst, R. Dijkman, A. Kumar, F. Leotta, F. Maggi, J. Mendling, B. Pentland, A. Senderovich, M. Sepúlveda, E. Asensio, and M. Weske, editors, Proceedings of the Best Dissertation Award, Doctoral Consortium, and Demonstration Resources Track at BPM 2021, volume 2973 of CEUR Workshop Proceedings, pages 56-61. CEUR-WS.org, 2021.
  46. M. Rafiei, A. Schnitzler, and W.M.P. van der Aalst. PC4PM: A Tool for Privacy/Confidentiality Preservation in Process Mining. In W.M.P. van der Aalst, R. Dijkman, A. Kumar, F. Leotta, F. Maggi, J. Mendling, B. Pentland, A. Senderovich, M. Sepúlveda, E. Asensio, and M. Weske, editors, Proceedings of the Best Dissertation Award, Doctoral Consortium, and Demonstration Resources Track at BPM 2021, volume 2973 of CEUR Workshop Proceedings, pages 106-110. CEUR-WS.org, 2021.
  47. M. Pegoraro, M.S. Uysal, and W.M.P. van der Aalst. An XES Extension for Uncertain Event Data. In W.M.P. van der Aalst, R. Dijkman, A. Kumar, F. Leotta, F. Maggi, J. Mendling, B. Pentland, A. Senderovich, M. Sepúlveda, E. Asensio, and M. Weske, editors, Proceedings of the Best Dissertation Award, Doctoral Consortium, and Demonstration Resources Track at BPM 2021, volume 2973 of CEUR Workshop Proceedings, pages 116-120. CEUR-WS.org, 2021.
  48. W.M.P. van der Aalst, V. Batagelj, D. Ignatov, M. Khachay, O. Koltsova, A. Kutuzov, S. Kuznetsov, I.A. Lomazova, N. Loukachevitch, A. Napoli, A. Panchenko, P. Pardalos, M. Pelillo, A. Savchenko, and E. Tutubalina, editors. Proceedings of the 9th International Conference on Analysis of Images, Social Networks and Texts (AIST 2020), volume 12602 of Lecture Notes in Computer Science. Springer-Verlag, Berlin, 2021.
  49. H.M.N.D. Bandara, H. Bockrath, R. Hobeck, C. Klinkm├╝ller, L. Pufahl, M. Rebesky, W.M.P. van der Aalst, and I. Weber. Event Logs of Ethereum-Based Applications: A Collection of Resources for Process Mining on Blockchain Data. In W.M.P. van der Aalst, R. Dijkman, A. Kumar, F. Leotta, F. Maggi, J. Mendling, B. Pentland, A. Senderovich, M. Sepúlveda, E. Asensio, and M. Weske, editors, Proceedings of the Best Dissertation Award, Doctoral Consortium, and Demonstration Resources Track at BPM 2021, volume 2973 of CEUR Workshop Proceedings, pages 161-165. CEUR-WS.org, 2021.
  50. M. Rafiei and W.M.P. van der Aalst. Privacy-Preserving Continuous Event Data Publishing. In A. Polyvyanyy, M.T. Wynn, A. Van Looy, and M. Reichert, editors, Business Process Management Forum (BPM Forum 2021), volume 427 of Lecture Notes in Business Information Processing, pages 178-194. Springer-Verlag, Berlin, 2021.
  51. R. Hobeck, C. Klinkmüller, H.M.N.D. Bandara, I. Weber, and W.M.P. van der Aalst. Process Mining on Blockchain Data: A Case Study of Augur. In A. Polyvyanyy, M.T. Wynn, A. Van Looy, and M. Reichert, editors, International Conference on Business Process Management (BPM 2021), volume 12875 of Lecture Notes in Computer Science, pages 306-323. Springer-Verlag, Berlin, 2021.
  52. J. Yang, C. Ouyang, A.H.M. ter Hofstede, W.M.P. van der Aalst, and M. Leyer. Seeing the Forest for the Trees: Group-Oriented Workforce Analytics. In A. Polyvyanyy, M.T. Wynn, A. Van Looy, and M. Reichert, editors, International Conference on Business Process Management (BPM 2021), volume 12875 of Lecture Notes in Computer Science, pages 345-362. Springer-Verlag, Berlin, 2021.
  53. J.N. Adams, S.J. van Zelst, L. Quack, K. Hausmann, W.M.P. van der Aalst, and T. Rose. A Framework for Explainable Concept Drift Detection in Process Mining. In A. Polyvyanyy, M.T. Wynn, A. Van Looy, and M. Reichert, editors, International Conference on Business Process Management (BPM 2021), volume 12875 of Lecture Notes in Computer Science, pages 400-416. Springer-Verlag, Berlin, 2021.
  54. D. Schuster, S.J. van Zelst, and W.M.P. van der Aalst. Freezing Sub-models During Incremental Process Discovery. In A. Ghose, J. Horkoff, V. Souza, J. Parsons, and J. Evermann, editors, International Conference on Conceptual Modeling (ER 2021), volume 13011 of Lecture Notes in Computer Science, pages 14-24. Springer-Verlag, Berlin, 2021.
  55. G. Park and W.M.P. van der Aalst. Realizing A Digital Twin of An Organization Using Action-oriented Process Mining. In C. Di Ciccio, C. Di Francescomarino, and P. Soffer, editors, International Conference on Process Mining (ICPM 2021), pages 104-111. IEEE, 2021.
  56. J.N. Adams and W.M.P. van der Aalst. Precision and Fitness in Object-Centric Process Mining. In C. Di Ciccio, C. Di Francescomarino, and P. Soffer, editors, International Conference on Process Mining (ICPM 2021), pages 128-135. IEEE, 2021.
  57. C.Y. Li, S.J. van Zelst, and W.M.P. van der Aalst. An Activity Instance Based Hierarchical Framework for Event Abstraction. In C. Di Ciccio, C. Di Francescomarino, and P. Soffer, editors, International Conference on Process Mining (ICPM 2021), pages 160-167. IEEE, 2021.
  58. C. Quix, S. Hammoudi, and W.M.P. van der Aalst, editors. Proceedings of the 10th International Conference on Data Science, Technology and Applications (DATA 2021). SCITEPRESS, 2021.
  59. T. Brockhoff, M. Heithoff, I. Koren, J. Michael, J. Pfeiffer, B. Rumpe, M.S. Uysal, W.M.P. van der Aalst, and A. Wortmann. Process Prediction with Digital Twins. In International Conference on Model Driven Engineering Languages and Systems Companion (Models 2021 Companion), pages 182-187. IEEE, 2021.
  60. M. Pourbafrani, S. Jiao, and W.M.P. van der Aalst. SIMPT: Process Improvement Using Interactive Simulation of Time-Aware Process Trees. In S. Cherfi, A. Perini, and S. Nurcan, editors, Research Challenges in Information Science (RCIS 2021), volume 415 of Lecture Notes in Business Information Processing, pages 588-594. Springer-Verlag, Berlin, 2021.
  61. W.M.P. van der Aalst. Federated Process Mining: Exploiting Event Data Across Organizational Boundaries. In N. Atukorala, C. Chang, E. Damiani, M. Fu, G. Spanoudakis, M. Srivatsa, Z. Wang, and J. Zhang, editors, IEEE International Conference on Smart Data Services (SMDS 2021), pages 1-7. IEEE, 2021.
  62. W.M.P. van der Aalst, R. Dijkman, A. Kumar, F. Leotta, F. Maggi, J. Mendling, B. Pentland, A. Senderovich, M. Sepúlveda, E. Asensio, and M. Weske, editors. Proceedings of the Best Dissertation Award, Doctoral Consortium, and Demonstration Resources Track at BPM 2021, volume 2973 of CEUR Workshop Proceedings. CEUR-WS.org, 2021.
  63. W.M.P. van der Aalst, V. Batagelj, A. Buzmakov, D. Ignatov, A. Kalenkova, M. Khachay, O. Koltsova, A. Kutuzov, S. Kuznetsov, I.A. Lomazova, N. Loukachevitch, A. Napoli, A. Panchenko, P. Pardalos, M. Pelillo, A. Savchenko, and E. Tutubalina, editors. Recent Trends in Analysis of Images, Social Networks and Texts, Revised Supplementary Proceedings (AIST 2020), volume 1357 of Communications in Computer and Information Science. Springer-Verlag, Berlin, 2021.
  64. K. Bauer, O. Hinz, W.M.P. van der Aalst, and C. Weinhardt. Expl(AI)n It to Me - Explainable AI and Information Systems Research. Business and Information Systems Engineering, 63(2):79-82, 2021.
  65. A. Berti and W.M.P. van der Aalst. A Novel Token-Based Replay Technique to Speed Up Conformance Checking and Process Enhancement. Transactions on Petri Nets and Other Models of Concurrency, 15:1-26, 2021.
  66. C. Weinhardt, C. Peukert, O. Hinz, and W.M.P. van der Aalst. Welcome to Economies in IS! Business and Information Systems Engineering, 63(4):325-328, 2021.
  67. R. Hähnle and W.M.P. van der Aalst. Automated model analysis tools and techniques presented at FASE 2019. International Journal on Software Tools for Technology Transfer, 23(3):285-287, 2021.
  68. W.M.P. van der Aalst, O. Hinz, and C. Weinhardt. Resilient Digital Twins. Business and Information Systems Engineering, 63(6):615-619, 2021.
  69. D. Beverungen, J. Buijs, J. Becker, C. Di Ciccio, W.M.P. van der Aalst, C. Bartelheimer, J. vom Brocke, M. Comuzzi, K. Kraume, H. Leopold, M. Matzner, J. Mendling, N. Ogonek, T. Post, M. Resinas, K. Revoredo, Adela del-Rio-Ortega, M. La Rosa, F. Santoro, A. Solti, M. Song, A. Stein, M. Stierle, and V. Wolf. Seven Paradoxes of Business Process Management in a Hyper-Connected World. Business and Information Systems Engineering, 63(2):145-156, 2021.
  70. A. Burattin, J. De Weerdt, B.F. van Dongen, J. Claes, and W.M.P. van der Aalst. Special Issue on Business Process Intelligence. Computing, 103(1):1-2, 2021.
  71. N. Martin, D. Fischer, G. Kerpedzhiev, K. Goel, S. Leemans, M. Röglinger, W.M.P. van der Aalst, M. Dumas, M. La Rosa, and M.T. Wynn. Opportunities and Challenges for Process Mining in Organizations: Results of a Delphi Study. Business and Information Systems Engineering, 63(5):511-527, 2021.
  72. M. Fani Sani, S.J. van Zelst, and W.M.P. van der Aalst. The Impact of Biased Sampling of Event Logs on the Performance of Process Discovery. Computing, 103(6):1085-1104, 2021.
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  74. W.M.P. van der Aalst, T. Brockhoff, A. Farhang, M. Pourbafrani, M.S. Uysal, and S. J. van Zelst. Removing Operational Friction Using Process Mining: Challenges Provided by the Internet of Production (IoP). In S. Hammoudi and C. Quix, editors, Data Management Technologies and Applications, volume 1446 of Communications in Computer and Information Science, pages 1-31. Springer-Verlag, Berlin, 2021.
  75. M. Rafiei and W.M.P. van der Aalst. Privacy-Preserving Data Publishing in Process Mining. Computing Research Repository (CoRR) in arXiv, abs/2101.02627, 2021.
  76. M. Pourbafrani, S. Vasudevan, F. Zafar, Y. Xingran, R. Singh, and W.M.P. van der Aalst. A Python Extension to Simulate Petri nets in Process Mining. Computing Research Repository (CoRR) in arXiv, abs/2102.08774, 2021.
  77. M.S. Qafari and W.M.P. van der Aalst. Case Level Counterfactual Reasoning in Process Mining. Computing Research Repository (CoRR) in arXiv, abs/2102.13490, 2021.
  78. D. Fahland, V. Denisov, and W.M.P. van der Aalst. Inferring Unobserved Events in Systems With Shared Resources and Queues. Computing Research Repository (CoRR) in arXiv, abs/2103.00167, 2021.
  79. M. Pegoraro, M.S. Uysal, and W.M.P. van der Aalst. PROVED: A Tool for Graph Representation and Analysis of Uncertain Event Data. Computing Research Repository (CoRR) in arXiv, abs/2103.05564, 2021.
  80. A. Farhang Ghahfarokhi, A. Berti, and W.M.P. van der Aalst. Process Comparison Using Object-Centric Process Cubes. Computing Research Repository (CoRR) in arXiv, abs/2103.07184, 2021.
  81. 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. Computing Research Repository (CoRR) in arXiv, abs/2103.13315, 2021.
  82. M. Pegoraro, M.S. Uysal, D.B. Georgi, and W.M.P. van der Aalst. Text-Aware Predictive Monitoring of Business Processes. Computing Research Repository (CoRR) in arXiv, abs/2104.09962, 2021.
  83. D. Schuster, S.J. van Zelst, and W.M.P. van der Aalst. Cortado: An Interactive Tool for Data-Driven Process Discovery and Modeling. Computing Research Repository (CoRR) in arXiv, abs/2105.07666, 2021.
  84. M. Rafiei and W.M.P. van der Aalst. Group-Based Privacy Preservation Techniques for Process Mining. Computing Research Repository (CoRR) in arXiv, abs/2105.11983, 2021.
  85. M. Rafiei and W.M.P. van der Aalst. Privacy-Preserving Continuous Event Data Publishing. Computing Research Repository (CoRR) in arXiv, abs/2105.11991, 2021.
  86. J.N. Adams, S.J. van Zelst, L. Quack, K. Hausmann, W.M.P. van der Aalst, and T. Rose. A Framework for Explainable Concept Drift Detection in Process Mining. Computing Research Repository (CoRR) in arXiv, abs/2105.13155, 2021.
  87. W.M.P. van der Aalst. Free-Choice Nets With Home Clusters Are Lucent. Computing Research Repository (CoRR) in arXiv, abs/2106.03554, 2021.
  88. W.M.P. van der Aalst. Reduction Using Induced Subnets To Systematically Prove Properties For Free-Choice Nets. Computing Research Repository (CoRR) in arXiv, abs/2106.03658, 2021.
  89. W.M.P. van der Aalst and L.F.R. Santos. May I Take Your Order? On the Interplay Between Time and Order in Process Mining. Computing Research Repository (CoRR) in arXiv, abs/2107.03937, 2021.
  90. W.M.P. van der Aalst, T. Brockhoff, A. Farhang Ghahfarokhi, M. Pourbafrani, M.S. Uysal, and S.J. van Zelst. Removing Operational Friction Using Process Mining: Challenges Provided by the Internet of Production (IoP). Computing Research Repository (CoRR) in arXiv, abs/2107.13066, 2021.
  91. M. Rafiei and W.M.P. van der Aalst. PC4PM: A Tool for Privacy/Confidentiality Preservation in Process Mining. Computing Research Repository (CoRR) in arXiv, abs/2107.14499, 2021.
  92. D. Schuster, S.J. van Zelst, and W.M.P. van der Aalst. Freezing Sub-Models During Incremental Process Discovery (Extended Version). Computing Research Repository (CoRR) in arXiv, abs/2108.00215, 2021.
  93. M. Pourbafrani, S. Jiao, and W.M.P. van der Aalst. SIMPT: Process Improvement Using Interactive Simulation of Time-aware Process Trees. Computing Research Repository (CoRR) in arXiv, abs/2108.02052, 2021.
  94. M.S. Qafari and W.M.P. van der Aalst. Feature Recommendation for Structural Equation Model Discovery in Process Mining. Computing Research Repository (CoRR) in arXiv, abs/2108.07795, 2021.
  95. M. Pegoraro, B. Bakullari, M.S. Uysal, and W.M.P. van der Aalst. Probability Estimation of Uncertain Process Trace Realizations. Computing Research Repository (CoRR) in arXiv, abs/2108.08615, 2021.
  96. D. Schuster, L. Schade, S.J. van Zelst, and W.M.P. van der Aalst. Visualizing Trace Variants From Partially Ordered Event Data. Computing Research Repository (CoRR) in arXiv, abs/2110.02060, 2021.
  97. A. Pery, M. Rafiei, M. Simon, and W.M.P. van der Aalst. Trustworthy Artificial Intelligence and Process Mining: Challenges and Opportunities. Computing Research Repository (CoRR) in arXiv, abs/2110.02707, 2021.
  98. A. Berti, G. Park, M. Rafiei, and W.M.P. van der Aalst. An Event Data Extraction Approach from SAP ERP for Process Mining. Computing Research Repository (CoRR) in arXiv, abs/2110.03467, 2021.
  99. J.N. Adams and W.M.P. van der Aalst. Precision and Fitness in Object-Centric Process Mining. Computing Research Repository (CoRR) in arXiv, abs/2110.05375, 2021.
  100. W.M.P. van der Aalst. Process mining and RPA. In C. Czarnecki and P. Fettke, editors, Robotic Process Automation: Management, Technology, Applications, pages 223-242. De Gruyter STEM, 2021.
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