Predictive business process monitoring methods exploit logs of completed cases of a
process in order to make predictions about running cases thereof. Existing methods in this …

Nowadays, process mining is becoming a growing area of interest in business process
management (BPM). Process mining consists in the extraction of information from the event …

Predictive process monitoring aims at forecasting the behavior, performance, and outcomes
of business processes at runtime. It helps identify problems before they occur and re …

Predictive process monitoring has recently gained traction in academia and is maturing also
in companies. However, with the growing body of research, it might be daunting for data …

Predictive business process monitoring techniques aim at making predictions about the
future state of the executions of a business process, as for instance the remaining execution …

Predictive business process monitoring aims at predicting the outcome of ongoing cases of
a business process based on past execution traces. A wide range of techniques for this …

Predicting the final state of a running process, the remaining time to completion or the next
activity of a running process are important aspects of runtime process management …

Predictive business process monitoring aims at leveraging past process execution data to
predict how ongoing (uncompleted) process executions will unfold up to their completion …

This paper presents a systematic literature review (SLR) on the explainability and
interpretability of machine learning (ML) models within the context of predictive process …

The ability to proactively monitor business processes is a main competitive differentiator for
firms. Process execution logs generated by process aware information systems help to make …