Dr Raffaele Conforti

  • Room: Level: 10 Room: 09
  • Building: Doug McDonell Building
  • Campus: Parkville

Personal webpage

www.raffaeleconforti.com

Biography

Raffaele Conforti is a Lecturer in the area of Business Process Management (BPM) with the School of Computing and Information Systems. Before joining the University of Melbourne, he was a Postdoctoral Research Fellow within the Business Process Management Discipline in the Queensland University of Technology, from which he also holds a PhD. His research spans across the wide spectrum of business process management with a particular interest to process mining. In the area of process mining, his interest focuses on the development of techniques for process discovery, noise filtering, and conformance checking. He is also involved in the Apromore initiative, an advanced process analytics platform, where in the past he played the role of chief architect.

Recent publications

  1. Augusto, A.; Armas-cervantes, A.; Conforti, R.; Dumas, M.; La Rosa, M.; Reissner, D. Abstract-and-compare: A family of scalable precision measures for automated process discovery. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). SpringerLink. 2018, Vol. 11080 LNCS, pp. 158-175. DOI: 10.1007/978-3-319-98648-7_10
  2. Augusto, A.; Conforti, R.; Dumas, M.; La Rosa, M.; Maggi, FM.; Marrella, A.; Mecella, M.; Soo, A. Automated Discovery of Process Models from Event Logs: Review and Benchmark. IEEE Transactions on Knowledge and Data Engineering. Institute of Electrical and Electronics Engineers. 2018, Vol. 31, Issue 4, pp. 686-705. DOI: 10.1109/TKDE.2018.2841877
  3. Augusto, A.; Conforti, R.; Dumas, M.; La Rosa, M.; Bruno, G. Automated discovery of structured process models from event logs: The discover-and-structure approach. Data & Knowledge Engineering. ELSEVIER SCIENCE BV. 2018, Vol. 117, pp. 373-392. DOI: 10.1016/j.datak.2018.04.007
  4. Van Zelst, SJ.; Fani Sani, M.; Ostovar, A.; Conforti, R.; La Rosa, M. Filtering spurious events from event streams of business processes. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Springer. 2018, Vol. 10816 LNCS, pp. 35-52. DOI: 10.1007/978-3-319-91563-0_3
  5. Van Der Aalst, W.; Casati, F.; Conforti, R.; De Leoni, M.; Dumas, M.; Kumar, A.; Mendling, J.; Nepal, S.; Pentland, B.; Weber, B. Preface. CEUR Workshop Proceedings. CEUR Workshop Proceedings. 2018, Vol. 2196.
  6. Augusto, A.; Conforti, R.; Dumas, M.; La Rosa, M.; Polyvyanyy, A. Split miner: automated discovery of accurate and simple business process models from event logs. Knowledge and Information Systems. Springer Verlag. 2018, Vol. 59, Issue 2, pp. 1-34. DOI: 10.1007/s10115-018-1214-x
  7. Conforti, R.; La Rosa, M.; Ter Hofstede, A. Timestamp Repair for Business Process Event Logs. . 2018.
  8. Conforti, R.; La Rosa, M.; Ter Hofstede, AHM. Filtering Out Infrequent Behavior from Business Process Event Logs. IEEE Transactions on Knowledge and Data Engineering. IEEE COMPUTER SOC. 2017, Vol. 29, Issue 2, pp. 300-314. DOI: 10.1109/TKDE.2016.2614680
  9. Reißner, D.; Conforti, R.; Dumas, M.; La Rosa, M.; Armas-cervantes, A. Scalable conformance checking of business processes. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). SPRINGER-VERLAG BERLIN. 2017, Vol. 10573 LNCS, pp. 607-627. DOI: 10.1007/978-3-319-69462-7_38
  10. Augusto, A.; Conforti, R.; Dumas, M.; Rosa, ML. Split miner: Discovering accurate and simple business process models from event logs. 2017 IEEE International Conference on Data Mining (ICDM). Springer Verlag. 2017, Vol. 2017-November, pp. 1-10. DOI: 10.1109/ICDM.2017.9
  11. Augusto, A.; Conforti, R.; Dumas, M.; La Rosa, M.; Bruno, G. Automated Discovery of Structured Process Models: Discover Structured vs. Discover and Structure. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). SPRINGER INT PUBLISHING AG. 2016, Vol. 9974, pp. 313-329. DOI: 10.1007/978-3-319-46397-1_25
  12. Conforti, R.; Augusto, A.; Rosa, ML.; Dumas, M.; García-bañuelos, L. BPMN miner 2.0: Discovering hierarchical and block-structured BPMN process models. CEUR Workshop Proceedings. CEUR Workshop Proceedings. 2016, Vol. 1789, pp. 39-43.
  13. Conforti, R.; Dumas, M.; Garcia-banuelos, L.; La Rosa, M. BPMN Miner: Automated discovery of BPMN process models with hierarchical structure. Information Systems. PERGAMON-ELSEVIER SCIENCE LTD. 2016, Vol. 56, pp. 284-303. DOI: 10.1016/j.is.2015.07.004
  14. Conforti, R.; Fink, S.; Manderscheid, J.; Röglinger, M. PRISM - A predictive risk monitoring approach for business processes. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Springer International Publishing. 2016, Vol. 9850 LNCS, pp. 383-400. DOI: 10.1007/978-3-319-45348-4_22
  15. Conforti, R.; De Leoni, M.; La Rosa, M.; Van Der Aalst, WMP.; Ter Hofstede, AHM. A recommendation system for predicting risks across multiple business process instances. Decision Support Systems. ELSEVIER SCIENCE BV. 2015, Vol. 69, pp. 1-19. DOI: 10.1016/j.dss.2014.10.006
  16. Conforti, R.; Dumas, M.; La Rosa, M.; Maaradji, A.; Nguyen, HH.; Ostovar, A.; Raboczi, S. Analysis of business process variants in apromore. CEUR Workshop Proceedings. SpringerLink. 2015, Vol. 1418, pp. 16-20.
  17. Leontjeva, A.; Conforti, R.; Di Francescomarino, C.; Dumas, M.; Maggi, FM. Complex Symbolic Sequence Encodings for Predictive Monitoring of Business Processes. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). SPRINGER-VERLAG BERLIN. 2015, Vol. 9253, pp. 297-313. DOI: 10.1007/978-3-319-23063-4_21
  18. Polyvyanyy, A.; Corno, L.; Conforti, R.; Raboczi, S.; La Rosa, M.; Fortino, G. Process querying in apromore. CEUR Workshop Proceedings. CEUR Workshop Proceedings. 2015, Vol. 1418, pp. 105-109.
  19. Conforti, R.; Dumas, M.; Garcia-banuelos, L.; La Rosa, M. Beyond Tasks and Gateways: Discovering BPMN Models with Subprocesses, Boundary Events and Activity Markers. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). SPRINGER-VERLAG BERLIN. 2014, Vol. 8659, pp. 101-117. DOI: 10.1007/978-3-319-10172-9_7
  20. Suriadi, S.; Weiß, B.; Winkelmann, A.; Ter Hofstede, AHM.; Adams, M.; Conforti, R.; Fidge, C.; La Rosa, M.; Ouyang, C.; Pika, A.; Rosemann, M.; Wynn, M. Current research in risk-aware business process management-overview, comparison, and gap analysis. Communications of the Association for Information Systems. 2014, Vol. 34, Issue 1, pp. 933-984.

View a full list of publications on the University of Melbourne’s ‘Find An Expert’ profile