| 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 | 223 | 2019 |
| Discovering object-centric Petri nets WMP van der Aalst, A Berti Fundamenta informaticae 175 (1-4), 1-40, 2020 | 81 | 2020 |
| OCEL: A standard for object-centric event logs AF Ghahfarokhi, G Park, A Berti, WMP van der Aalst New Trends in Database and Information Systems: ADBIS 2021 Short Papers …, 2021 | 47 | 2021 |
| Reviving Token-based Replay: Increasing Speed While Improving Diagnostics A Berti, W van der Aalst ATAED 2019 2371, 87-103, 2019 | 39 | 2019 |
| Extracting multiple viewpoint models from relational databases A Berti, W van Der Aalst Data-Driven Process Discovery and Analysis: 8th IFIP WG 2.6 International …, 2020 | 37 | 2020 |
| No-free-lunch theorems in the continuum A Alabert, A Berti, R Caballero, M Ferrante Theoretical Computer Science 600, 98-106, 2015 | 27 | 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 | 21 | 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 | 18 | 2019 |
| Statistical Sampling in Process Mining Discovery A Berti IARIA eKNOW 2017, 41-43, 2017 | 16 | 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 | 9 | 2023 |
| An Event Data Extraction Approach from SAP ERP for Process Mining. A Berti, G Park, M Rafiei, WMP van der Aalst ICPM Workshops 433, 255-267, 2021 | 9 | 2021 |
| Ocel standard AF Ghahfarokhi, G Park, A Berti, W van der Aalst Process and Data Science Group, RWTH Aachen University, techreport 1, 2020 | 9 | 2020 |
| StarStar Models: Using Events at Database Level for Process Analysis WA Alessandro Berti SIMPDA 2018 2270, 60-64, 2018 | 8 | 2018 |
| 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. arXiv 2019 A Berti, SJ Van Zelst, W van der Aalst arXiv preprint arXiv:1905.06169, 0 | 6 | |
| 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 | 5 | 2022 |
| Process comparison using object-centric process cubes AF Ghahfarokhi, A Berti, WMP van der Aalst arXiv preprint arXiv:2103.07184, 2021 | 5 | 2021 |
| PM4Py-GPU: A High-Performance General-Purpose Library for Process Mining A Berti, MP Nghia, WMP van der Aalst Research Challenges in Information Science: 16th International Conference …, 2022 | 4 | 2022 |
| Filtering Toolkit: Interactively Filter Event Logs to Improve the Quality of Discovered Models MRF Sani, A Berti, SJ van Zelst, WMP van der Aalst BPM 2019 Demo Track, 2019 | 4 | 2019 |
| Filtering and sampling object-centric event logs A Berti arXiv preprint arXiv:2205.01428, 2022 | 3 | 2022 |
Wil van der AalstProfessor of Process and Data Science, RWTH Aachen University || Celonis || Fraunhofer FIT || TU/eBestätigte E-Mail-Adresse bei pads.rwth-aachen.de
