| Utilizing domain knowledge in data-driven process discovery: A literature review D Schuster, SJ van Zelst, WMP van der Aalst Computers in Industry 137, 2022 | 36 | 2022 |
| A framework for extracting and encoding features from object-centric event data JN Adams, G Park, S Levich, D Schuster, WMP van der Aalst Service-Oriented Computing. ICSOC 2022, 36-53, 2022 | 25 | 2022 |
| Incremental Discovery of Hierarchical Process Models D Schuster, SJ van Zelst, WMP van der Aalst Research Challenges in Information Science. RCIS 2020, 417-433, 2020 | 24 | 2020 |
| Cortado—An interactive tool for data-driven process discovery and modeling D Schuster, SJ Zelst, WMP van der Aalst Application and Theory of Petri Nets and Concurrency. PETRI NETS 2021, 465-475, 2021 | 21 | 2021 |
| Defining cases and variants for object-centric event data JN Adams, D Schuster, S Schmitz, G Schuh, WMP van der Aalst 2022 4th International Conference on Process Mining (ICPM), 128-135, 2022 | 20 | 2022 |
| Online Process Monitoring Using Incremental State-Space Expansion: An Exact Algorithm D Schuster, SJ van Zelst Business Process Management. BPM 2020, 147-164, 2020 | 18 | 2020 |
| PM4Py: A process mining library for Python A Berti, S van Zelst, D Schuster Software Impacts 17, 100556, 2023 | 12 | 2023 |
| Cortado: A dedicated process mining tool for interactive process discovery D Schuster, SJ van Zelst, WMP van der Aalst SoftwareX 22, 101373, 2023 | 11 | 2023 |
| Abstractions, Scenarios, and Prompt Definitions for Process Mining with LLMs: A Case Study A Berti, D Schuster, WMP van der Aalst Business Process Management Workshops. BPM 2023, 427-439, 2024 | 9 | 2024 |
| Alignment Approximation for Process Trees D Schuster, S van Zelst, WMP van der Aalst Process Mining Workshops. ICPM 2020, 247-259, 2021 | 9 | 2021 |
| Scalable online conformance checking using incremental prefix-alignment computation D Schuster, GJ Kolhof Service-Oriented Computing – ICSOC 2020 Workshops., 379-394, 2020 | 9 | 2020 |
| Freezing sub-models during incremental process discovery D Schuster, SJ van Zelst, WMP van der Aalst Conceptual Modeling. ER 2021, 14-24, 2021 | 8 | 2021 |
| Visualizing Trace Variants from Partially Ordered Event Data D Schuster, L Schade, SJ van Zelst, WMP van der Aalst Process Mining Workshops. ICPM 2021, 34-46, 2021 | 7 | 2021 |
| The process mining toolkit (pmtk): Enabling advanced process mining in an integrated fashion A Berti, CY Li, D Schuster, SJ van Zelst ICPM 2021 Doctoral Consortium and Demo Track 2021, 43-44, 2021 | 6 | 2021 |
| Conformance Checking for Trace Fragments Using Infix and Postfix Alignments D Schuster, N Föcking, SJ van Zelst, WMP van der Aalst Cooperative Information Systems. CoopIS 2022, 299-310, 2022 | 5 | 2022 |
| Supporting Users in the Continuous Evolution of Automated Routines in Their Smart Spaces E Serral, D Schuster, Y Bertrand Business Process Management Workshops. BPM 2021, 391-402, 2021 | 5 | 2021 |
| Scalable Discovery of Partially Ordered Workflow Models with Formal Guarantees H Kourani, D Schuster, W Van Der Aalst 2023 5th International Conference on Process Mining (ICPM), 89-96, 2023 | 3 | 2023 |
| Mining Frequent Infix Patterns from Concurrency-Aware Process Execution Variants M Martini, D Schuster, WMP van der Aalst Proceedings of the VLDB Endowment 16 (10), 2666-2678, 2023 | 3 | 2023 |
| Control-Flow-Based Querying of Process Executions from Partially Ordered Event Data D Schuster, M Martini, SJ van Zelst, WMP van der Aalst Service-Oriented Computing. ICSOC 2022, 19-35, 2022 | 3 | 2022 |
| Temporal Performance Analysis for Block-Structured Process Models in Cortado D Schuster, L Schade, SJ van Zelst, WMP van der Aalst Intelligent Information Systems. CAiSE 2022., 110-119, 2022 | 3 | 2022 |
Wil van der AalstProfessor of Process and Data Science, RWTH Aachen University || Celonis || Fraunhofer FIT || TU/eVerified email at pads.rwth-aachen.de
