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
1672018
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
632019
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
492017
Automated discovery of structured process models: Discover structured vs. discover and structure
A Augusto, R Conforti, M Dumas, M La Rosa, G Bruno
International Conference on Conceptual Modeling, 313-329, 2016
432016
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
272017
Discovering automatable routines from user interaction logs
A Bosco, A Augusto, M Dumas, M La Rosa, G Fortino
International Conference on Business Process Management, 144-162, 2019
202019
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
172018
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
72020
Metaheuristic optimization for automated business process discovery
A Augusto, M Dumas, M La Rosa
International Conference on Business Process Management, 268-285, 2019
62019
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
22020
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
12020
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
12016
Detection of statistically significant differences between process variants through declarative rules
A Cecconi, A Augusto, C Di Ciccio
arXiv preprint arXiv:2104.07926, 2021
2021
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
2021
Discovering executable routine specifications from user interaction logs
V Leno, A Augusto, M La Rosa, A Polyvyanyy, M Dumas, F Maggi
2021
Detection of statistically significant differences between process variants through declarative rules
A Augusto, A Cecconi, C Di Ciccio
2020
Automated Discovery of Process Models with True Concurrency and Inclusive Choices
A Augusto, M La Rosa, M Dumas
Springer, 2020
2020
Accurate and Efficient Discovery of Process Models from Event Logs
A Augusto
2019
BPI Challenge 2019 Report: a Purchase-to-Pay Process Analysis
A Augusto, V Leno, D Reissner
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Articles 1–19