Predictive Process Monitoring

Chiara Di Francescomarino is an Associate Professor at the Information Engineering and Computer Science Department of the University of Trento. Her main research interests are in the field of Business Process Management, with a particular focus on Process Mining. She has worked extensively on Predictive and Prescriptive Process Monitoring based on historical execution traces, as well as on techniques for explaining process predictions and supporting simulation-based decision making.Ivan Donadello is an Assistant Professor at the Faculty of Engineering of the Free University of Bozen-Bolzano. His research focuses on Predictive Process Monitoring within the framework of Neuro-Symbolic Artificial Intelligence. He is the main architect of Declare4Py, an open-source Python library for declarative process mining and serves as associate editor for the Logic and Reasoning in Artificial Intelligence section of Frontiers in Artificial Intelligence. He also heads the Machine Learning course at the Free University of Bozen-Bolzano and regularly supervises theses on Neuro-Symbolic techniques applied to Predictive Process Monitoring.Fabrizio Maria Maggi is a Full Professor at the Faculty of Engineering of the Free University of Bozen-Bolzano. He has a strong background in the fields of Business Process Management and Artificial Intelligence. He is a pioneer in developing techniques that integrate Machine Learning to extract hidden insights from execution logs, having initiated the Predictive Process Monitoring research line that later has become one of the pillars of process analysis in Business Process Management. He has also contributed to some of the first works on explainable Predictive Process Monitoring and Prescriptive Process Monitoring. Recently, his research has focused on developing techniques that combine Predictive Process Monitoring with Neuro-Symbolic Artificial Intelligence.

• 1. Introduction.- 2. Tools and libraries.- 3. Prefix generation and bucketing.- 4. Encodings.- 5. Learning.- 6. Validating and Testing.- 7. Advanced Topics.