| 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 | 266 | 2019 |
| Discovering object-centric Petri nets WMP van der Aalst, A Berti Fundamenta informaticae 175 (1-4), 1-40, 2020 | 98 | 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 | 61 | 2021 |
| Reviving Token-based Replay: Increasing Speed While Improving Diagnostics A Berti, W van der Aalst ATAED 2019 2371, 87-103, 2019 | 46 | 2019 |
| 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 | 42 | 2018 |
| No-free-lunch theorems in the continuum A Alabert, A Berti, R Caballero, M Ferrante Theoretical Computer Science 600, 98-106, 2015 | 28 | 2015 |
| 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 | 23 | 2020 |
| 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 | 19 | 2019 |
| Statistical Sampling in Process Mining Discovery A Berti IARIA eKNOW 2017, 41-43, 2017 | 17 | 2017 |
| 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 | 14 | 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 | 12 | 2021 |
| Ocel standard AF Ghahfarokhi, G Park, A Berti, W van der Aalst Process and Data Science Group, RWTH Aachen University, techreport 1, 2020 | 10 | 2020 |
| StarStar Models: Using Events at Database Level for Process Analysis WA Alessandro Berti SIMPDA 2018 2270, 60-64, 2018 | 8 | 2018 |
| Process comparison using object-centric process cubes AF Ghahfarokhi, A Berti, WMP van der Aalst arXiv preprint arXiv:2103.07184, 2021 | 7 | 2021 |
| A scalable database for the storage of object-centric event logs A Berti, AF Ghahfarokhi, G Park, WMP van der Aalst arXiv preprint arXiv:2202.05639, 2022 | 6 | 2022 |
| Improving process mining prediction results in processes that change over time A Berti Data Analytics 2016, 49, 2016 | 6 | 2016 |
| 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 | 6 | 1905 |
| Process mining for python (PM4Py): Bridging the gap between process-and data science. arXiv 2019 A Berti, SJ Van Zelst, WMP van der Aalst arXiv preprint arXiv:1905.06169, 0 | 6 | |
| The process mining toolkit (pmtk): Enabling advanced process mining in an integrated fashion A Berti, CY Li, D Schuster, SJ van Zelst Proceedings of the ICPM demo track, 2021 | 5 | 2021 |
| PM4Py-GPU: A High-Performance General-Purpose Library for Process Mining A Berti, MP Nghia, WMP van der Aalst International Conference on Research Challenges in Information Science, 727-734, 2022 | 4 | 2022 |
Wil van der AalstProfessor of Process and Data Science, RWTH Aachen University || Celonis || Fraunhofer FIT || TU/eEmail verificata su pads.rwth-aachen.de
