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Adriano Augusto
Adriano Augusto
School of Computing and Information Systems, University of Melbourne
Geverifieerd e-mailadres voor unimelb.edu.au
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Automated discovery of process models from event logs: review and benchmark
A Augusto, R Conforti, M Dumas, M La Rosa, FM Maggi, A Marrella, ...
IEEE transactions on knowledge and data engineering 31 (4), 686-705, 2018
3342018
Split miner: automated discovery of accurate and simple business process models from event logs
A Augusto, R Conforti, M Dumas, M La Rosa, A Polyvyanyy
Knowledge and Information Systems 59, 251-284, 2019
1442019
Split miner: Discovering accurate and simple business process models from event logs
A Augusto, R Conforti, M Dumas, M La Rosa
2017 IEEE International Conference on Data Mining (ICDM), 1-10, 2017
772017
Automated Discovery of Structured Process Models From Event Logs: The Discover-and-Structure Approach
A Augusto, R Conforti, M Dumas, M La Rosa, G Bruno
Data & Knowledge Engineering, 2017
472017
Automated discovery of structured process models: Discover structured vs. discover and structure
A Augusto, R Conforti, M Dumas, M La Rosa, G Bruno
Conceptual Modeling: 35th International Conference, ER 2016, Gifu, Japan …, 2016
472016
Discovering automatable routines from user interaction logs
A Bosco, A Augusto, M Dumas, M La Rosa, G Fortino
Business Process Management Forum: BPM Forum 2019, Vienna, Austria …, 2019
442019
Identifying candidate routines for robotic process automation from unsegmented UI logs
V Leno, A Augusto, M Dumas, M La Rosa, FM Maggi, A Polyvyanyy
2020 2nd International Conference on Process Mining (ICPM), 153-160, 2020
322020
Abstract-and-Compare: A Family of Scalable Precision Measures for Automated Process Discovery
A Augusto, A Armas-Cervantes, R Conforti, M Dumas, M La Rosa, ...
International Conference on Business Process Management, 158-175, 2018
24*2018
Automatic repair of same-timestamp errors in business process event logs
R Conforti, M La Rosa, AHM Ter Hofstede, A Augusto
Business Process Management: 18th International Conference, BPM 2020 …, 2020
182020
Measuring fitness and precision of automatically discovered process models: a principled and scalable approach
A Augusto, A Armas-Cervantes, R Conforti, M Dumas, M La Rosa
IEEE Transactions on Knowledge and Data Engineering 34 (4), 1870-1888, 2020
162020
The connection between process complexity of event sequences and models discovered by process mining
A Augusto, J Mendling, M Vidgof, B Wurm
Information Sciences 598, 196-215, 2022
152022
Metaheuristic optimization for automated business process discovery
A Augusto, M Dumas, M La Rosa
Business Process Management: 17th International Conference, BPM 2019, Vienna …, 2019
112019
Discovering data transfer routines from user interaction logs
V Leno, A Augusto, M Dumas, M La Rosa, FM Maggi, A Polyvyanyy
Information Systems 107, 101916, 2022
8*2022
Advanced process discovery techniques
A Augusto, J Carmona, E Verbeek
Process Mining Handbook, 76-107, 2022
82022
Detection of statistically significant differences between process variants through declarative rules
A Cecconi, A Augusto, C Di Ciccio
Business Process Management Forum: BPM Forum 2021, Rome, Italy, September 06 …, 2021
72021
Process mining-driven analysis of COVID-19’s impact on vaccination patterns
A Augusto, T Deitz, N Faux, JA Manski-Nankervis, D Capurro
Journal of Biomedical Informatics 130, 104081, 2022
52022
Efficient checking of temporal compliance rules over business process event logs
A Augusto, A Awad, M Dumas
arXiv preprint arXiv:2112.04623, 2021
32021
Optimization framework for DFG-based automated process discovery approaches
A Augusto, M Dumas, M La Rosa, SJJ Leemans, SKLM vanden Broucke
Software and Systems Modeling, 1-26, 2021
32021
Automated discovery of process models with true concurrency and inclusive choices
A Augusto, M Dumas, M La Rosa
Process Mining Workshops: ICPM 2020 International Workshops, Padua, Italy …, 2021
32021
Accurate and efficient discovery of process models from event logs
A Augusto
BPM (PhD/Demos), 1-5, 2020
22020
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Artikelen 1–20