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Alessandro Berti
Alessandro Berti
PADS RWTH
Bestätigte E-Mail-Adresse bei pads.rwth-aachen.de - Startseite
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
3242019
Discovering object-centric Petri nets
WMP van der Aalst, A Berti
Fundamenta informaticae 175 (1-4), 1-40, 2020
1542020
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
1032021
Reviving Token-based Replay: Increasing Speed While Improving Diagnostics
A Berti, W van der Aalst
ATAED 2019 2371, 87-103, 2019
512019
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
502018
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
392020
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
322023
No-free-lunch theorems in the continuum
A Alabert, A Berti, R Caballero, M Ferrante
Theoretical Computer Science 600, 98-106, 2015
302015
PM4Py: A process mining library for Python
A Berti, S van Zelst, D Schuster
Software Impacts 17, 100556, 2023
262023
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
232021
Statistical Sampling in Process Mining Discovery
A Berti
IARIA eKNOW 2017, 41-43, 2017
212017
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
192023
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
Ocel standard
AF Ghahfarokhi, G Park, A Berti, W van der Aalst
Process and Data Science Group, RWTH Aachen University, techreport 1, 2020
172020
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
151905
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
122024
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
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, 1-17, 2023
72023
Filtering and sampling object-centric event logs
A Berti
arXiv preprint arXiv:2205.01428, 2022
72022
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