| Process Mining for Python (PM4Py): Bridging the Gap Between Process- and Data Science A Berti, WA Sebastiaan J. van Zelst ICPM 2019 Demo Track 2374, 13-16, 2019 | 334 | 2019 |
| Discovering object-centric Petri nets WMP van der Aalst, A Berti Fundamenta informaticae 175 (1-4), 1-40, 2020 | 161 | 2020 |
| OCEL: a standard for object-centric event logs AF Ghahfarokhi, G Park, A Berti, WMP van der Aalst European Conference on Advances in Databases and Information Systems, 169-175, 2021 | 109 | 2021 |
| Extracting multiple viewpoint models from relational databases A Berti, W van Der Aalst International Symposium on Data-Driven Process Discovery and Analysis, 24-51, 2018 | 54 | 2018 |
| Reviving Token-based Replay: Increasing Speed While Improving Diagnostics A Berti, W van der Aalst ATAED 2019 2371, 87-103, 2019 | 53 | 2019 |
| A Novel Token-Based Replay Technique to Speed Up Conformance Checking and Process Enhancement A Berti, W van der Aalst Petri Nets and Other Models of Concurrency (ToPNoC), 2020 | 43 | 2020 |
| PM4Py: A process mining library for Python A Berti, S van Zelst, D Schuster Software Impacts 17, 100556, 2023 | 39 | 2023 |
| OC-PM: analyzing object-centric event logs and process models A Berti, WMP van der Aalst International Journal on Software Tools for Technology Transfer 25 (1), 1-17, 2023 | 34 | 2023 |
| No-free-lunch theorems in the continuum A Alabert, A Berti, R Caballero, M Ferrante Theoretical Computer Science 600, 98-106, 2015 | 30 | 2015 |
| Abstractions, scenarios, and prompt definitions for process mining with LLMS: a case study A Berti, D Schuster, WMP van der Aalst International Conference on Business Process Management, 427-439, 2023 | 29 | 2023 |
| An event data extraction approach from SAP ERP for process mining A Berti, G Park, M Rafiei, WMP van der Aalst International Conference on Process Mining, 255-267, 2021 | 25 | 2021 |
| Statistical Sampling in Process Mining Discovery A Berti IARIA eKNOW 2017, 41-43, 2017 | 22 | 2017 |
| PM4Py Web Services: Easy Development, Integration and Deployment of Process Mining Features in any Application Stack A Berti, WA Sebastiaan J. van Zelst BPM 2019 Demo Track, 2019 | 20 | 2019 |
| Ocel standard AF Ghahfarokhi, G Park, A Berti, W van der Aalst Process and Data Science Group, RWTH Aachen University, techreport 1, 2020 | 18 | 2020 |
| Quantum clustering with k-means: A hybrid approach A Poggiali, A Berti, A Bernasconi, GM Del Corso, R Guidotti Theoretical Computer Science 992, 114466, 2024 | 15 | 2024 |
| Process Mining for Python (PM4Py): bridging the gap between process-and data science (2019) A Berti, SJ Van Zelst, W van der Aalst arXiv preprint arXiv:1905.06169, 1905 | 15 | 1905 |
| Leveraging large language models (LLMs) for process mining (Technical Report) A Berti, MS Qafari arXiv preprint arXiv:2307.12701, 2023 | 12 | 2023 |
| Process Modeling With Large Language Models H Kourani, A Berti, D Schuster, WMP van der Aalst International Conference on Business Process Modeling, Development and …, 2024 | 10 | 2024 |
| A generic approach to extract object-centric event data from databases supporting SAP ERP A Berti, G Park, M Rafiei, WMP van der Aalst Journal of Intelligent Information Systems 61 (3), 835-857, 2023 | 9 | 2023 |
| Process comparison using object-centric process cubes AF Ghahfarokhi, A Berti, WMP van der Aalst arXiv preprint arXiv:2103.07184, 2021 | 9 | 2021 |
Wil van der AalstProfessor of Process and Data Science, RWTH Aachen University || Celonis || Fraunhofer FIT || TU/eVerified email at pads.rwth-aachen.de