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Alessandro Berti
Alessandro Berti
PADS RWTH
Verified email at pads.rwth-aachen.de - Homepage
Title
Cited by
Cited by
Year
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
3092019
Discovering object-centric Petri nets
WMP van der Aalst, A Berti
Fundamenta informaticae 175 (1-4), 1-40, 2020
1222020
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
822021
Reviving Token-based Replay: Increasing Speed While Improving Diagnostics
A Berti, W van der Aalst
ATAED 2019 2371, 87-103, 2019
502019
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
492018
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
312020
No-free-lunch theorems in the continuum
A Alabert, A Berti, R Caballero, M Ferrante
Theoretical Computer Science 600, 98-106, 2015
292015
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
272023
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
192021
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
192019
Statistical Sampling in Process Mining Discovery
A Berti
IARIA eKNOW 2017, 41-43, 2017
192017
Ocel standard
AF Ghahfarokhi, G Park, A Berti, W van der Aalst
Process and Data Science Group, RWTH Aachen University, techreport 1, 2020
122020
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
111905
PM4Py: a process mining library for Python
A Berti, S van Zelst, D Schuster
Software Impacts 17, 100556, 2023
92023
Process comparison using object-centric process cubes
AF Ghahfarokhi, A Berti, WMP van der Aalst
arXiv preprint arXiv:2103.07184, 2021
92021
StarStar Models: Using Events at Database Level for Process Analysis
WA Alessandro Berti
SIMPDA 2018 2270, 60-64, 2018
82018
Quantum clustering with k-means: A hybrid approach
A Poggiali, A Berti, A Bernasconi, GM Del Corso, R Guidotti
Theoretical Computer Science, 114466, 2024
72024
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
72022
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
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
62023
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