no code implementations • 26 Jul 2022 • Riccardo Galanti, Massimiliano de Leoni, Merylin Monaro, Nicolò Navarin, Alan Marazzi, Brigida Di Stasi, Stéphanie Maldera
However, process stakeholders need to be provided with an explanation of the reasons why a given process execution is predicted to behave in a certain way.
no code implementations • 5 Mar 2022 • Riccardo Galanti, Massimiliano de Leoni, Nicolò Navarin, Alan Marazzi
The results are compared with a naive approach that overlooks the object interactions, thus illustrating the benefits of their use on the prediction quality.
1 code implementation • 4 Aug 2020 • Riccardo Galanti, Bernat Coma-Puig, Massimiliano de Leoni, Josep Carmona, Nicolò Navarin
Predictive Business Process Monitoring is becoming an essential aid for organizations, providing online operational support of their processes.
1 code implementation • 23 May 2019 • Stephan A. Fahrenkrog-Petersen, Niek Tax, Irene Teinemaa, Marlon Dumas, Massimiliano de Leoni, Fabrizio Maria Maggi, Matthias Weidlich
Predictive process monitoring is a family of techniques to analyze events produced during the execution of a business process in order to predict the future state or the final outcome of running process instances.
no code implementations • 10 Mar 2019 • Massimiliano de Leoni, Safa Dundar
A large body of research exists on event abstraction but typically a large amount of domain knowledge is required to be fed in, which is often not readily available.
2 code implementations • 23 Mar 2018 • Irene Teinemaa, Niek Tax, Massimiliano de Leoni, Marlon Dumas, Fabrizio Maria Maggi
Predictive process monitoring is concerned with the analysis of events produced during the execution of a process in order to predict the future state of ongoing cases thereof.
no code implementations • 24 Feb 2016 • Mirko Polato, Alessandro Sperduti, Andrea Burattin, Massimiliano de Leoni
However, in real cases this assumption is not always true.