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ORCIDWil M. P. van der Aalst
Willibrordus Martinus Pancratius van der Aalst
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- affiliation: RWTH Aachen University, Chair of Process and Data Science, Germany
- affiliation (former): Eindhoven University of Technology, Department of Mathematics and Computer Science
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2020 – today
- 2022
[j251]Vincent Bloemen, Sebastiaan J. van Zelst, Wil M. P. van der Aalst
, Boudewijn F. van Dongen, Jaco van de Pol:
Aligning observed and modelled behaviour by maximizing synchronous moves and using milestones. Inf. Syst. 103: 101456 (2022)- 2021
- [j250]Kevin Bauer, Oliver Hinz, Wil M. P. van der Aalst, Christof Weinhardt:
Expl(AI)n It to Me - Explainable AI and Information Systems Research. Bus. Inf. Syst. Eng. 63(2): 79-82 (2021) - [j249]Daniel Beverungen, Joos C. A. M. Buijs, Jörg Becker, Claudio Di Ciccio, Wil M. P. van der Aalst, Christian Bartelheimer, Jan vom Brocke, Marco Comuzzi, Karsten Kraume, Henrik Leopold, Martin Matzner, Jan Mendling, Nadine Ogonek, Till Post, Manuel Resinas, Kate Revoredo, Adela del-Río-Ortega, Marcello La Rosa, Flávia Maria Santoro, Andreas Solti, Minseok Song, Armin Stein, Matthias Stierle, Verena Wolf:
Seven Paradoxes of Business Process Management in a Hyper-Connected World. Bus. Inf. Syst. Eng. 63(2): 145-156 (2021) - [j248]Christof Weinhardt, Christian Peukert, Oliver Hinz, Wil M. P. van der Aalst:
Welcome to Economies in IS! Bus. Inf. Syst. Eng. 63(4): 325-328 (2021) - [j247]Niels Martin, Dominik Andreas Fischer, Georgi Dimov Kerpedzhiev, Kanika Goel, Sander J. J. Leemans, Maximilian Röglinger, Wil M. P. van der Aalst, Marlon Dumas, Marcello La Rosa, Moe Thandar Wynn:
Opportunities and Challenges for Process Mining in Organizations: Results of a Delphi Study. Bus. Inf. Syst. Eng. 63(5): 511-527 (2021) - [j246]Wil M. P. van der Aalst, Oliver Hinz, Christof Weinhardt:
Resilient Digital Twins. Bus. Inf. Syst. Eng. 63(6): 615-619 (2021) - [j245]Andrea Burattin, Jochen De Weerdt, Boudewijn F. van Dongen, Jan Claes, Wil M. P. van der Aalst:
Special issue on business process intelligence. Computing 103(1): 1-2 (2021) - [j244]Mohammadreza Fani Sani, Sebastiaan J. van Zelst, Wil 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) - [j243]Majid Rafiei, Wil M. P. van der Aalst:
Group-based privacy preservation techniques for process mining. Data Knowl. Eng. 134: 101908 (2021) - [j242]Wil M. P. van der Aalst:
Free-choice Nets with Home Clusters are Lucent. Fundam. Informaticae 181(4): 273-302 (2021) - [j241]Sander J. J. Leemans, Wil M. P. van der Aalst, Tobias Brockhoff, Artem Polyvyanyy:
Stochastic process mining: Earth movers' stochastic conformance. Inf. Syst. 102: 101724 (2021) - [j240]Marco Pegoraro, Merih Seran Uysal, Wil M. P. van der Aalst:
Conformance checking over uncertain event data. Inf. Syst. 102: 101810 (2021) - [j239]Reiner Hähnle, Wil M. P. van der Aalst:
Automated model analysis tools and techniques presented at FASE 2019. Int. J. Softw. Tools Technol. Transf. 23(3): 285-287 (2021) - [j238]Alessandro Berti, Wil M. P. van der Aalst:
A Novel Token-Based Replay Technique to Speed Up Conformance Checking and Process Enhancement. Trans. Petri Nets Other Model. Concurr. 15: 1-26 (2021) - [c517]Anahita Farhang Ghahfarokhi, Gyunam Park, Alessandro Berti, Wil M. P. van der Aalst:
OCEL: A Standard for Object-Centric Event Logs. ADBIS (Short Papers) 2021: 169-175 - [c516]Wil M. P. van der Aalst:
Reduction Using Induced Subnets to Systematically Prove Properties for Free-Choice Nets. Petri Nets 2021: 208-229 - [c515]Daniel Schuster, Sebastiaan J. van Zelst, Wil M. P. van der Aalst:
Cortado - An Interactive Tool for Data-Driven Process Discovery and Modeling. Petri Nets 2021: 465-475 - [c514]Marco Pegoraro, Merih Seran Uysal, Wil M. P. van der Aalst:
PROVED: A Tool for Graph Representation and Analysis of Uncertain Event Data. Petri Nets 2021: 476-486 - [c513]Merih Seran Uysal, Dominik Hüser, Wil M. P. van der Aalst:
Optimization-Based Business Process Model Matching. BIS 2021: 61-72 - [c512]Marco Pegoraro, Merih Seran Uysal, David Benedikt Georgi, Wil M. P. van der Aalst:
Text-Aware Predictive Monitoring of Business Processes. BIS 2021: 221-232 - [c511]Mahsa Pourbafrani, Wil M. P. van der Aalst:
Forward-Looking Process Mining. BPM (PhD/Demos) 2021: 56-61 - [c510]Majid Rafiei, Alexander Schnitzler, Wil M. P. van der Aalst:
PC4PM: A Tool for Privacy/Confidentiality Preservation in Process Mining. BPM (PhD/Demos) 2021: 106-110 - [c509]Marco Pegoraro, Merih Seran Uysal, Wil M. P. van der Aalst:
An XES Extension for Uncertain Event Data. BPM (PhD/Demos) 2021: 116-120 - [c508]Herath Mudiyanselage Nelanga Dilum Bandara, Hendrik Bockrath, Richard Hobeck, Christopher Klinkmüller, Luise Pufahl, Martin Rebesky, Wil M. P. van der Aalst, Ingo Weber:
Event Logs of Ethereum-Based Applications: A Collection of Resources for Process Mining on Blockchain Data. BPM (PhD/Demos) 2021: 161-165 - [c507]Majid Rafiei, Wil M. P. van der Aalst:
Privacy-Preserving Continuous Event Data Publishing. BPM (Forum) 2021: 178-194 - [c506]Richard Hobeck, Christopher Klinkmüller, H. M. N. Dilum Bandara, Ingo Weber, Wil M. P. van der Aalst:
Process Mining on Blockchain Data: A Case Study of Augur. BPM 2021: 306-323 - [c505]Jing Yang, Chun Ouyang, Arthur H. M. ter Hofstede, Wil M. P. van der Aalst, Michael Leyer:
Seeing the Forest for the Trees: Group-Oriented Workforce Analytics. BPM 2021: 345-362 - [c504]Jan Niklas Adams, Sebastiaan J. van Zelst, Lara Quack, Kathrin Hausmann, Wil M. P. van der Aalst, Thomas Rose:
A Framework for Explainable Concept Drift Detection in Process Mining. BPM 2021: 400-416 - [c503]Mahnaz Sadat Qafari, Wil M. P. van der Aalst:
Case Level Counterfactual Reasoning in Process Mining. CAiSE Forum 2021: 55-63 - [c502]Sebastiaan J. van Zelst, Luis F. R. Santos, Wil M. P. van der Aalst:
Data-Driven Process Performance Measurement and Prediction: A Process-Tree-Based Approach. CAiSE Forum 2021: 73-81 - [c501]Gyunam Park, Wil M. P. van der Aalst:
Towards Reliable Business Process Simulation: A Framework to Integrate ERP Systems. BPMDS/EMMSAD@CAiSE 2021: 112-127 - [c500]Mahsa Pourbafrani, Wil M. P. van der Aalst:
Extracting Process Features from Event Logs to Learn Coarse-Grained Simulation Models. CAiSE 2021: 125-140 - [c499]Daniel Schuster, Sebastiaan J. van Zelst, Wil M. P. van der Aalst:
Freezing Sub-models During Incremental Process Discovery. ER 2021: 14-24 - [c498]Wil M. P. van der Aalst:
Using Free-Choice Nets for Process Mining and Business Process Management. FedCSIS 2021: 9-15 - [c497]Gyunam Park, Wil M. P. van der Aalst:
Realizing A Digital Twin of An Organization Using Action-oriented Process Mining. ICPM 2021: 104-111 - [c496]Jan Niklas Adams, Wil M. P. van der Aalst:
Precision and Fitness in Object-Centric Process Mining. ICPM 2021: 128-135 - [c495]Chiao-Yun Li, Sebastiaan J. van Zelst, Wil M. P. van der Aalst:
An Activity Instance Based Hierarchical Framework for Event Abstraction. ICPM 2021: 160-167 - [c494]Wil M. P. van der Aalst:
Concurrency and Objects Matter! Disentangling the Fabric of Real Operational Processes to Create Digital Twins. ICTAC 2021: 3-17 - [c493]Mahsa Pourbafrani, Shuai Jiao, Wil M. P. van der Aalst:
SIMPT: Process Improvement Using Interactive Simulation of Time-Aware Process Trees. RCIS 2021: 588-594 - [c492]Wil M. P. van der Aalst:
Federated Process Mining: Exploiting Event Data Across Organizational Boundaries. SMDS 2021: 1-7 - [e35]Wil M. P. van der Aalst, Vladimir Batagelj, Alexey Buzmakov, Dmitry I. Ignatov, Anna A. Kalenkova, Michael Yu. Khachay, Olessia Koltsova, Andrey Kutuzov, Sergei O. Kuznetsov, Irina A. Lomazova, Natalia V. Loukachevitch, Ilya Makarov, Amedeo Napoli, Alexander Panchenko, Panos M. Pardalos, Marcello Pelillo, Andrey V. Savchenko, Elena Tutubalina:
Recent Trends in Analysis of Images, Social Networks and Texts - 9th International Conference, AIST 2020, Skolkovo, Moscow, Russia, October 15-16, 2020 Revised Supplementary Proceedings. Communications in Computer and Information Science 1357, Springer 2021, ISBN 978-3-030-71213-6 [contents] - [e34]Wil M. P. van der Aalst, Vladimir Batagelj, Dmitry I. Ignatov, Michael Yu. Khachay, Olessia Koltsova, Andrey Kutuzov, Sergei O. Kuznetsov, Irina A. Lomazova, Natalia V. Loukachevitch, Amedeo Napoli, Alexander Panchenko, Panos M. Pardalos, Marcello Pelillo, Andrey V. Savchenko, Elena Tutubalina:
Analysis of Images, Social Networks and Texts - 9th International Conference, AIST 2020, Skolkovo, Moscow, Russia, October 15-16, 2020, Revised Selected Papers. Lecture Notes in Computer Science 12602, Springer 2021, ISBN 978-3-030-72609-6 [contents] - [e33]Wil M. P. van der Aalst, Remco M. Dijkman, Akhil Kumar, Francesco Leotta, Fabrizio Maria Maggi, Jan Mendling, Brian T. Pentland, Arik Senderovich, Marcos Sepúlveda, Estefanía Serral Asensio, Mathias Weske:
Proceedings of the Best Dissertation Award, Doctoral Consortium, and Demonstration & Resources Track at BPM 2021 co-located with 19th International Conference on Business Process Management (BPM 2021), Rome, Italy, September 6th - to - 10th, 2021. CEUR Workshop Proceedings 2973, CEUR-WS.org 2021 [contents] - [e32]Christoph Quix, Slimane Hammoudi, Wil M. P. van der Aalst:
Proceedings of the 10th International Conference on Data Science, Technology and Applications, DATA 2021, Online Streaming, July 6-8, 2021. SCITEPRESS 2021, ISBN 978-989-758-521-0 [contents] - [i77]Majid Rafiei, Wil M. P. van der Aalst:
Privacy-Preserving Data Publishing in Process Mining. CoRR abs/2101.02627 (2021) - [i76]Mahsa Pourbafrani, Sandhya Vasudevan, Faizan Zafar, Yuan Xingran, Ravikumar Singh, Wil M. P. van der Aalst:
A Python Extension to Simulate Petri nets in Process Mining. CoRR abs/2102.08774 (2021) - [i75]Mahnaz Sadat Qafari, Wil M. P. van der Aalst:
Case Level Counterfactual Reasoning in Process Mining. CoRR abs/2102.13490 (2021) - [i74]Dirk Fahland, Vadim Denisov, Wil M. P. van der Aalst:
Inferring Unobserved Events in Systems With Shared Resources and Queues. CoRR abs/2103.00167 (2021) - [i73]Marco Pegoraro, Merih Seran Uysal, Wil M. P. van der Aalst:
PROVED: A Tool for Graph Representation and Analysis of Uncertain Event Data. CoRR abs/2103.05564 (2021) - [i72]Anahita Farhang Ghahfarokhi, Alessandro Berti, Wil M. P. van der Aalst:
Process Comparison Using Object-Centric Process Cubes. CoRR abs/2103.07184 (2021) - [i71]Mohammadreza Fani Sani, Martin Kabierski, Sebastiaan J. van Zelst, Wil M. P. van der Aalst:
Model Independent Error Bound Estimation for Conformance Checking Approximation. CoRR abs/2103.13315 (2021) - [i70]Marco Pegoraro, Merih Seran Uysal, David Benedikt Georgi, Wil M. P. van der Aalst:
Text-Aware Predictive Monitoring of Business Processes. CoRR abs/2104.09962 (2021) - [i69]Daniel Schuster, Sebastiaan J. van Zelst, Wil M. P. van der Aalst:
Cortado - An Interactive Tool for Data-Driven Process Discovery and Modeling. CoRR abs/2105.07666 (2021) - [i68]Majid Rafiei, Wil M. P. van der Aalst:
Group-Based Privacy Preservation Techniques for Process Mining. CoRR abs/2105.11983 (2021) - [i67]Majid Rafiei, Wil M. P. van der Aalst:
Privacy-Preserving Continuous Event Data Publishing. CoRR abs/2105.11991 (2021) - [i66]Jan Niklas Adams, Sebastiaan J. van Zelst, Lara Quack, Kathrin Hausmann, Wil M. P. van der Aalst, Thomas Rose:
A Framework for Explainable Concept Drift Detection in Process Mining. CoRR abs/2105.13155 (2021) - [i65]Wil M. P. van der Aalst:
Free-Choice Nets With Home Clusters Are Lucent. CoRR abs/2106.03554 (2021) - [i64]Wil M. P. van der Aalst:
Reduction Using Induced Subnets To Systematically Prove Properties For Free-Choice Nets. CoRR abs/2106.03658 (2021) - [i63]Wil M. P. van der Aalst, Luis F. R. Santos:
May I Take Your Order? On the Interplay Between Time and Order in Process Mining. CoRR abs/2107.03937 (2021) - [i62]Wil M. P. van der Aalst, Tobias Brockhoff, Anahita Farhang Ghahfarokhi, Mahsa Pourbafrani, Merih Seran Uysal, Sebastiaan J. van Zelst:
Removing Operational Friction Using Process Mining: Challenges Provided by the Internet of Production (IoP). CoRR abs/2107.13066 (2021) - [i61]Majid Rafiei, Alexander Schnitzler, Wil M. P. van der Aalst:
PC4PM: A Tool for Privacy/Confidentiality Preservation in Process Mining. CoRR abs/2107.14499 (2021) - [i60]Daniel Schuster, Sebastiaan J. van Zelst, Wil M. P. van der Aalst:
Freezing Sub-Models During Incremental Process Discovery: Extended Version. CoRR abs/2108.00215 (2021) - [i59]Mahsa Pourbafrani, Shuai Jiao, Wil M. P. van der Aalst:
SIMPT: Process Improvement Using Interactive Simulation of Time-aware Process Trees. CoRR abs/2108.02052 (2021) - [i58]Mahnaz Sadat Qafari, Wil M. P. van der Aalst:
Feature Recommendation for Structural Equation Model Discovery in Process Mining. CoRR abs/2108.07795 (2021) - [i57]Marco Pegoraro, Bianka Bakullari, Merih Seran Uysal, Wil M. P. van der Aalst:
Probability Estimation of Uncertain Process Trace Realizations. CoRR abs/2108.08615 (2021) - [i56]Daniel Schuster, Lukas Schade, Sebastiaan J. van Zelst, Wil M. P. van der Aalst:
Visualizing Trace Variants From Partially Ordered Event Data. CoRR abs/2110.02060 (2021) - [i55]Andrew Pery, Majid Rafiei, Michael Simon, Wil M. P. van der Aalst:
Trustworthy Artificial Intelligence and Process Mining: Challenges and Opportunities. CoRR abs/2110.02707 (2021) - [i54]Alessandro Berti, Gyunam Park, Majid Rafiei, Wil M. P. van der Aalst:
An Event Data Extraction Approach from SAP ERP for Process Mining. CoRR abs/2110.03467 (2021) - [i53]Jan Niklas Adams, Wil M. P. van der Aalst:
Precision and Fitness in Object-Centric Process Mining. CoRR abs/2110.05375 (2021) - 2020
- [j237]Marco Pegoraro, Merih Seran Uysal, Wil M. P. van der Aalst:
Efficient Time and Space Representation of Uncertain Event Data. Algorithms 13(11): 285 (2020) - [j236]Oliver Hinz, Wil M. P. van der Aalst, Christof Weinhardt:
Research in the Attention Economy. Bus. Inf. Syst. Eng. 62(2): 83-85 (2020) - [j235]Christof Weinhardt, Simon Kloker, Oliver Hinz, Wil M. P. van der Aalst:
Citizen Science in Information Systems Research. Bus. Inf. Syst. Eng. 62(4): 273-277 (2020) - [j234]Wil M. P. van der Aalst, Oliver Hinz, Christof Weinhardt:
Impact of COVID-19 on BISE Research and Education. Bus. Inf. Syst. Eng. 62(6): 463-466 (2020) - [j233]Mohammadreza Fani Sani, Sebastiaan J. van Zelst, Wil M. P. van der Aalst:
Improving the performance of process discovery algorithms by instance selection. Comput. Sci. Inf. Syst. 17(3): 927-958 (2020) - [j232]Wil M. P. van der Aalst, Alessandro Berti:
Discovering Object-centric Petri Nets. Fundam. Informaticae 175(1-4): 1-40 (2020) - [j231]Eduardo González López de Murillas, Hajo A. Reijers, Wil M. P. van der Aalst:
Case notion discovery and recommendation: automated event log building on databases. Knowl. Inf. Syst. 62(7): 2539-2575 (2020) - [j230]Long Cheng, Boudewijn F. van Dongen, Wil M. P. van der Aalst:
Scalable Discovery of Hybrid Process Models in a Cloud Computing Environment. IEEE Trans. Serv. Comput. 13(2): 368-380 (2020) - [c491]Lisa Luise Mannel, Robin Bergenthum, Wil M. P. van der Aalst:
Removing Implicit Places Using Regions for Process Discovery. ATAED@Petri Nets 2020: 20-32 - [c490]Vadim Denisov, Dirk Fahland, Wil M. P. van der Aalst:
Repairing Event Logs with Missing Events to Support Performance Analysis of Systems with Shared Resources. Petri Nets 2020: 239-259 - [c489]Wil M. P. van der Aalst, Daniel Tacke Genannt Unterberg, Vadim Denisov, Dirk Fahland:
Visualizing Token Flows Using Interactive Performance Spectra. Petri Nets 2020: 369-380 - [c488]Marco Pegoraro, Merih Seran Uysal, Wil M. P. van der Aalst:
Efficient Construction of Behavior Graphs for Uncertain Event Data. BIS 2020: 76-88 - [c487]Mahsa Pourbafrani, Sebastiaan J. van Zelst, Wil M. P. van der Aalst:
Supporting Automatic System Dynamics Model Generation for Simulation in the Context of Process Mining. BIS 2020: 249-263 - [c486]Mahsa Pourbafrani, Wil M. P. van der Aalst:
PMSD: Data-Driven Simulation Using System Dynamics and Process Mining. BPM (PhD/Demos) 2020: 77-81 - [c485]Majid Rafiei, Wil M. P. van der Aalst:
Practical Aspect of Privacy-Preserving Data Publishing in Process Mining. BPM (PhD/Demos) 2020: 92-96 - [c484]Majid Rafiei, Wil M. P. van der Aalst:
Privacy-Preserving Data Publishing in Process Mining. BPM (Forum) 2020: 122-138 - [c483]Mahnaz Sadat Qafari, Wil M. P. van der Aalst:
Root Cause Analysis in Process Mining Using Structural Equation Models. Business Process Management Workshops 2020: 155-167 - [c482]Gyunam Park, Wil M. P. van der Aalst:
A General Framework for Action-Oriented Process Mining. Business Process Management Workshops 2020: 206-218 - [c481]Mohammadreza Fani Sani, Mathilde Boltenhagen, Wil M. P. van der Aalst:
Prototype Selection Using Clustering and Conformance Metrics for Process Discovery. Business Process Management Workshops 2020: 281-294 - [c480]Lisa Luise Mannel, Yannick Epstein, Wil M. P. van der Aalst:
Improving the State-Space Traversal of the eST-Miner by Exploiting Underlying Log Structures. Business Process Management Workshops 2020: 334-347 - [c479]Mohammadreza Fani Sani, Sebastiaan J. van Zelst, Wil M. P. van der Aalst:
Conformance Checking Approximation Using Subset Selection and Edit Distance. CAiSE 2020: 234-251 - [c478]Wil M. P. van der Aalst, Tobias Brockhoff, Anahita Farhang Ghahfarokhi, Mahsa Pourbafrani, Merih Seran Uysal, Sebastiaan J. van Zelst:
Removing Operational Friction Using Process Mining: Challenges Provided by the Internet of Production (IoP). DATA (Revised Selected Papers) 2020: 1-31 - [c477]Wil M. P. van der Aalst:
On the Pareto Principle in Process Mining, Task Mining, and Robotic Process Automation. DATA 2020: 5-12 - [c476]Mahsa Pourbafrani, Sebastiaan J. van Zelst, Wil M. P. van der Aalst:
Semi-automated Time-Granularity Detection for Data-Driven Simulation Using Process Mining and System Dynamics. ER 2020: 77-91 - [c475]Zahra Toosinezhad, Dirk Fahland, Özge Köroglu, Wil M. P. van der Aalst:
Detecting System-Level Behavior Leading To Dynamic Bottlenecks. ICPM 2020: 17-24 - [c474]Alessandro Berti, Wil M. P. van der Aalst, David Zang, Magdalena Lang:
An Open-Source Integration of Process Mining Features Into the Camunda Workflow Engine: Data Extraction and Challenges. ICPM Doctoral Consortium / Tools 2020: 23-26 - [c473]Vadim Denisov, Dirk Fahland, Wil M. P. van der Aalst:
Multi-Dimensional Performance Analysis and Monitoring Using Integrated Performance Spectra. ICPM Doctoral Consortium / Tools 2020: 27-30 - [c472]Tobias Brockhoff, Merih Seran Uysal, Wil M. P. van der Aalst:
Time-aware Concept Drift Detection Using the Earth Mover's Distance. ICPM 2020: 33-40 - [c471]Marcus Dees, Bart Hompes, Wil M. P. van der Aalst:
Events Put into Context (EPiC). ICPM 2020: 65-72 - [c470]Mohammadreza Fani Sani, Juan J. Garza Gonzalez, Sebastiaan J. van Zelst, Wil M. P. van der Aalst:
Conformance Checking Approximation Using Simulation. ICPM 2020: 105-112 - [c469]Daniel Schuster, Sebastiaan J. van Zelst, Wil M. P. van der Aalst:
Alignment Approximation for Process Trees. ICPM Workshops 2020: 247-259 - [c468]Majid Rafiei, Wil M. P. van der Aalst:
Towards Quantifying Privacy in Process Mining. ICPM Workshops 2020: 385-397 - [c467]Chiao-Yun Li, Sebastiaan J. van Zelst, Wil M. P. van der Aalst:
Stage-Based Process Performance Analysis. ICSOC Workshops 2020: 349-364 - [c466]Wil M. P. van der Aalst:
Process Mining as the Superglue between Data and Process Management. ICSOFT 2020: 7-8 - [c465]Mahsa Pourbafrani, Sebastiaan J. van Zelst, Wil M. P. van der Aalst:
Supporting Decisions in Production Line Processes by Combining Process Mining and System Dynamics. IHSI 2020: 461-467 - [c464]Majid Rafiei, Miriam Wagner, Wil M. P. van der Aalst:
TLKC-Privacy Model for Process Mining. RCIS 2020: 398-416 - [c463]Daniel Schuster, Sebastiaan J. van Zelst, Wil M. P. van der Aalst:
Incremental Discovery of Hierarchical Process Models. RCIS 2020: 417-433 - [c462]Landelin Delcoucq, Fabian Lecron, Philippe Fortemps, Wil M. P. van der Aalst:
Resource-centric process mining: clustering using local process models. SAC 2020: 45-52 - [e31]Wil M. P. van der Aalst, Vladimir Batagelj, Dmitry I. Ignatov, Michael Yu. Khachay, Valentina Kuskova, Andrey Kutuzov, Sergei O. Kuznetsov, Irina A. Lomazova, Natalia V. Loukachevitch, Amedeo Napoli, Panos M. Pardalos, Marcello Pelillo, Andrey V. Savchenko, Elena Tutubalina:
Analysis of Images, Social Networks and Texts - 8th International Conference, AIST 2019, Kazan, Russia, July 17-19, 2019, Revised Selected Papers. Communications in Computer and Information Science 1086, Springer 2020, ISBN 978-3-030-39574-2 [contents] - [e30]Wil M. P. van der Aalst, Robin Bergenthum, Josep Carmona:
Proceedings of the International Workshop on Algorithms & Theories for the Analysis of Event Data 2020 Satellite event of the 41st International Conference on Application and Theory of Petri Nets and Concurrency Petri Nets 2020, virtual workshop, June 24, 2020. CEUR Workshop Proceedings 2625, CEUR-WS.org 2020 [contents] - [e29]Wil M. P. van der Aalst, Jan vom Brocke, Marco Comuzzi, Claudio Di Ciccio, Félix García, Akhil Kumar, Jan Mendling, Brian T. Pentland, Luise Pufahl, Manfred Reichert, Mathias Weske:
Proceedings of the Best Dissertation Award, Doctoral Consortium, and Demonstration & Resources Track at BPM 2020 co-located with the 18th International Conference on Business Process Management (BPM 2020), Sevilla, Spain, September 13-18, 2020. CEUR Workshop Proceedings 2673, CEUR-WS.org 2020 [contents] - [i52]Alessandro Berti, Wil M. P. van der Aalst:
Extracting Multiple Viewpoint Models from Relational Databases. CoRR abs/2001.02562 (2020) - [i51]Christopher Klinkmüller, Ingo Weber, Alexander Ponomarev, An Binh Tran, Wil M. P. van der Aalst:
Efficient Logging for Blockchain Applications. CoRR abs/2001.10281 (2020) - [i50]Marco Pegoraro, Merih Seran Uysal, Wil M. P. van der Aalst:
Efficient Construction of Behavior Graphs for Uncertain Event Data. CoRR abs/2002.08225 (2020) - [i49]Alessandro Berti, Wil M. P. van der Aalst:
A Novel Token-Based Replay Technique to Speed Up Conformance Checking and Process Enhancement. CoRR abs/2007.14237 (2020) - [i48]Alessandro Berti, Wil M. P. van der Aalst, David Zang, Magdalena Lang:
An Open-Source Integration of Process Mining Features into the Camunda Workflow Engine: Data Extraction and Challenges. CoRR abs/2009.06209 (2020) - [i47]Madhavi Bangalore Shankara Narayana, Hossameldin Khalifa, Wil M. P. van der Aalst:
JXES: JSON Support for the XES Event Log Standard. CoRR abs/2009.06363 (2020) - [i46]Majid Rafiei, Wil M. P. van der Aalst:
Practical Aspect of Privacy-Preserving Data Publishing in Process Mining. CoRR abs/2009.11542 (2020) - [i45]Daniel Schuster, Sebastiaan J. van Zelst, Wil M. P. van der Aalst:
Alignment Approximation for Process Trees. CoRR abs/2009.14094 (2020) - [i44]Marco Pegoraro, Merih Seran Uysal, Wil M. P. van der Aalst:
Conformance Checking over Uncertain Event Data. CoRR abs/2009.14452 (2020) - [i43]Marco Pegoraro, Merih Seran Uysal, Wil M. P. van der Aalst:
Efficient Time and Space Representation of Uncertain Event Data. CoRR abs/2010.00334 (2020) - [i42]Mahsa Pourbafrani, Wil M. P. van der Aalst:
PMSD: Data-Driven Simulation Using System Dynamics and Process Mining. CoRR abs/2010.00943 (2020) - [i41]Wil M. P. van der Aalst, Alessandro Berti:
Discovering Object-Centric Petri Nets. CoRR abs/2010.02047 (2020) - [i40]Jing Yang, Chun Ouyang, Wil M. P. van der Aalst, Arthur H. M. ter Hofstede, Yang Yu:
OrgMining 2.0: A Novel Framework for Organizational Model Mining from Event Logs. CoRR abs/2011.12445 (2020) - [i39]Majid Rafiei, Wil M. P. van der Aalst:
Towards Quantifying Privacy in Process Mining. CoRR abs/2012.12031 (2020)
2010 – 2019
- 2019
- [j229]Oliver Hinz, Wil M. P. van der Aalst, Christof Weinhardt:
Blind Spots in Business and Information Systems Engineering. Bus. Inf. Syst. Eng. 61(2): 133-135 (2019) - [j228]Christof Weinhardt, Wil M. P. van der Aalst, Oliver Hinz:
Introducing Registered Reports to the Information Systems Community. Bus. Inf. Syst. Eng. 61(4): 381-384 (2019) - [j227]Wil M. P. van der Aalst, Oliver Hinz, Christof Weinhardt:
Big Digital Platforms - Growth, Impact, and Challenges. Bus. Inf. Syst. Eng. 61(6): 645-648 (2019)