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Alessandro Berti
Alessandro Berti
PADS RWTH
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Titel
Zitiert von
Zitiert von
Jahr
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
3382019
Discovering object-centric Petri nets
WMP van der Aalst, A Berti
Fundamenta informaticae 175 (1-4), 1-40, 2020
1692020
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
1132021
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
562018
Reviving Token-based Replay: Increasing Speed While Improving Diagnostics
A Berti, W van der Aalst
ATAED 2019 2371, 87-103, 2019
552019
PM4Py: A process mining library for Python
A Berti, S van Zelst, D Schuster
Software Impacts 17, 100556, 2023
512023
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
462020
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
402023
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
362023
No-free-lunch theorems in the continuum
A Alabert, A Berti, R Caballero, M Ferrante
Theoretical Computer Science 600, 98-106, 2015
302015
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
282021
Statistical Sampling in Process Mining Discovery
A Berti
IARIA eKNOW 2017, 41-43, 2017
222017
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
202019
Ocel standard
AF Ghahfarokhi, G Park, A Berti, W van der Aalst
Process and Data Science Group, RWTH Aachen University, techreport 1, 2020
192020
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
182024
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
161905
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
142024
Leveraging large language models (LLMs) for process mining (Technical Report)
A Berti, MS Qafari
arXiv preprint arXiv:2307.12701, 2023
132023
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
112023
Graph-based feature extraction on object-centric event logs
A Berti, J Herforth, MS Qafari, WMP van der Aalst
International Journal of Data Science and Analytics 18 (2), 139-155, 2024
92024
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