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Alessandro Berti
Alessandro Berti
PADS RWTH
Email verificata su pads.rwth-aachen.de - Home page
Titolo
Citata da
Citata da
Anno
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
2662019
Discovering object-centric Petri nets
WMP van der Aalst, A Berti
Fundamenta informaticae 175 (1-4), 1-40, 2020
982020
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
612021
Reviving Token-based Replay: Increasing Speed While Improving Diagnostics
A Berti, W van der Aalst
ATAED 2019 2371, 87-103, 2019
462019
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
422018
No-free-lunch theorems in the continuum
A Alabert, A Berti, R Caballero, M Ferrante
Theoretical Computer Science 600, 98-106, 2015
282015
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
232020
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
172017
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
142023
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
122021
Ocel standard
AF Ghahfarokhi, G Park, A Berti, W van der Aalst
Process and Data Science Group, RWTH Aachen University, techreport 1, 2020
102020
StarStar Models: Using Events at Database Level for Process Analysis
WA Alessandro Berti
SIMPDA 2018 2270, 60-64, 2018
82018
Process comparison using object-centric process cubes
AF Ghahfarokhi, A Berti, WMP van der Aalst
arXiv preprint arXiv:2103.07184, 2021
72021
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
62022
Improving process mining prediction results in processes that change over time
A Berti
Data Analytics 2016, 49, 2016
62016
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
61905
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
6
The process mining toolkit (pmtk): Enabling advanced process mining in an integrated fashion
A Berti, CY Li, D Schuster, SJ van Zelst
Proceedings of the ICPM demo track, 2021
52021
PM4Py-GPU: A High-Performance General-Purpose Library for Process Mining
A Berti, MP Nghia, WMP van der Aalst
International Conference on Research Challenges in Information Science, 727-734, 2022
42022
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