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 | 283 | 2019 |
Discovering object-centric Petri nets WMP van der Aalst, A Berti Fundamenta informaticae 175 (1-4), 1-40, 2020 | 112 | 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 | 72 | 2021 |
Reviving Token-based Replay: Increasing Speed While Improving Diagnostics A Berti, W van der Aalst ATAED 2019 2371, 87-103, 2019 | 48 | 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 | 48 | 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 | 26 | 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 |
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 | 17 | 2023 |
Statistical Sampling in Process Mining Discovery A Berti IARIA eKNOW 2017, 41-43, 2017 | 17 | 2017 |
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 | 13 | 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 |
Process comparison using object-centric process cubes AF Ghahfarokhi, A Berti, WMP van der Aalst arXiv preprint arXiv:2103.07184, 2021 | 8 | 2021 |
StarStar Models: Using Events at Database Level for Process Analysis WA Alessandro Berti SIMPDA 2018 2270, 60-64, 2018 | 8 | 2018 |
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 | 7 | 2022 |
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 | 7 | |
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 |
PM4Py: a process mining library for Python A Berti, S van Zelst, D Schuster Software Impacts 17, 100556, 2023 | 5 | 2023 |
Quantum Clustering with k-Means: a Hybrid Approach A Poggiali, A Berti, A Bernasconi, G Del Corso, R Guidotti arXiv preprint arXiv:2212.06691, 2022 | 5 | 2022 |