286 citations · 848 across the 35 of their papers we have counts for
8 papers · 1 filter
Explain, Adapt and Retrain: How to improve the accuracy of a PPM classifier through different explanation styles
Williams Rizzi, Chiara Di Francescomarino, Chiara Ghidini +1
Recent papers have introduced a novel approach to explain why a Predictive Process Monitoring (PPM) model for outcome-oriented predictions provides wrong predictions. Moreover, the…
Process discovery on deviant traces and other stranger things
Federico Chesani, Chiara Di Francescomarino, Chiara Ghidini +5
As the need to understand and formalise business processes into a model has grown over the last years, the process discovery research field has gained more and more importance, dev…
How do I update my model? On the resilience of Predictive Process Monitoring models to change
Williams Rizzi, Chiara Di Francescomarino, Chiara Ghidini +1
Existing well investigated Predictive Process Monitoring techniques typically construct a predictive model based on past process executions, and then use it to predict the future o…
Explainable Predictive Process Monitoring
Riccardo Galanti, Bernat Coma-Puig, Massimiliano de Leoni +2
Predictive Business Process Monitoring is becoming an essential aid for organizations, providing online operational support of their processes. This paper tackles the fundamental p…
Fire Now, Fire Later: Alarm-Based Systems for Prescriptive Process Monitoring
Stephan A. Fahrenkrog-Petersen, Niek Tax, Irene Teinemaa +4
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 outc…
Discovering Process Maps from Event Streams
Volodymyr Leno, Abel Armas-Cervantes, Marlon Dumas +2
Automated process discovery is a class of process mining methods that allow analysts to extract business process models from event logs. Traditional process discovery methods extra…