Search Results for author: Massimiliano de Leoni

Found 5 papers, 3 papers with code

Explainable Predictive Process Monitoring

1 code implementation4 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.

Predictive Process Monitoring

Fire Now, Fire Later: Alarm-Based Systems for Prescriptive Process Monitoring

1 code implementation23 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.

Predictive Process Monitoring

From Low-Level Events to Activities -- A Session-Based Approach (Extended Version)

no code implementations10 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.

Alarm-Based Prescriptive Process Monitoring

2 code implementations23 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.

Predictive Process Monitoring

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