Abstract Machine learning (ML) provides algorithms to create computer programs based on
data without explicitly programming them. In business process management (BPM), ML …

Predictive business process monitoring (PBPM) provides a set of techniques to perform
different predic tion tasks in running business processes, such as the next activity, the …

Predictive business process monitoring (PBPM) techniques predict future process behaviour
based on historical event log data to improve operational business processes. Concerning …

Predicting next events in predictive process monitoring enables companies to manage and
control processes at an early stage and reduce their action distance. In recent years …

Process-aware Recommender systems (PAR systems) are information systems that aim to
monitor process executions, predict their outcome, and recommend effective interventions to …

Process mining provides techniques to learn models from event data. These models can be
descriptive (eg, Petri nets) or predictive (eg, neural networks). The learned models offer …

Prescriptive business process monitoring provides decision support to process managers on
when and how to adapt an ongoing business process to prevent or mitigate an undesired …

Recent breakthroughs in predictive business process monitoring equip process analysts
with predictions on running process instances, supporting the elicitation of proactive …

Previous studies have used prescriptive process monitoring to find actionable policies in
business processes and conducted case studies in similar domains, such as the loan …

Nowadays, more and more process data are automatically recorded by information systems,
and made available in the form of event logs. In this context, process mining enables …