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Adriano Augusto
Adriano Augusto
School of Computing and Information Systems, University of Melbourne
Verified email at unimelb.edu.au
Title
Cited by
Cited by
Year
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
2852018
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 (2), 251-284, 2019
1242019
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
742017
Automated discovery of structured process models: Discover structured vs. discover and structure
A Augusto, R Conforti, M Dumas, ML Rosa, G Bruno
International Conference on Conceptual Modeling, 313-329, 2016
522016
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
402017
Discovering automatable routines from user interaction logs
A Bosco, A Augusto, M Dumas, ML Rosa, G Fortino
International Conference on Business Process Management, 144-162, 2019
362019
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
222018
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
212020
Measuring fitness and precision of automatically discovered process models: a principled and scalable approach
A Augusto, R Conforti, A Armas-Cervantes, M Dumas, M La Rosa
IEEE Transactions on Knowledge and Data Engineering, 2020
162020
Automatic repair of same-timestamp errors in business process event logs
R Conforti, M La Rosa, AHM Ter Hofstede, A Augusto
International Conference on Business Process Management, 327-345, 2020
142020
Metaheuristic optimization for automated business process discovery
A Augusto, M Dumas, M La Rosa
International Conference on Business Process Management, 268-285, 2019
112019
Detection of statistically significant differences between process variants through declarative rules
A Cecconi, A Augusto, C Di Ciccio
International Conference on Business Process Management, 73-91, 2021
82021
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
72022
Advanced process discovery techniques
A Augusto, J Carmona, E Verbeek
Process Mining Handbook, 76-107, 2022
72022
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
5*2022
Automated discovery of process models with true concurrency and inclusive choices
A Augusto, M Dumas, M La Rosa
International Conference on Process Mining, 43-56, 2020
32020
Optimization framework for DFG-based automated process discovery approaches
A Augusto, M Dumas, M La Rosa, SJJ Leemans
Software and Systems Modeling 20 (4), 1245-1270, 2021
22021
BPMN miner 2.0: discovering hierarchical and block-structured BPMN process models
R Conforti, A Augusto, M La Rosa, M Dumas-Menijvar, L Garcia-Banuelos
Proceedings of the BPM Demo Track 2016 [CEUR Workshop Proceedings, Volume …, 2016
22016
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
2022
Why Do Banks Find Business Process Compliance So Challenging? An Australian Case Study
N Adams, A Augusto, M Davern, M La Rosa
arXiv preprint arXiv:2203.14904, 2022
2022
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