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 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 …

Modern information systems that support complex business processes generally maintain
significant amounts of process execution data, particularly records of events corresponding …

Predictive business process monitoring methods exploit historical process execution logs to
generate predictions about running instances (called cases) of a business process, such as …

This paper addresses the problem of predicting the outcome of an ongoing case of a
business process based on event logs. In this setting, the outcome of a case may refer for …

The enactment of business processes is generally supported by information systems that
record data about each process execution (aka case). This data can be analyzed via a …

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 …

This paper proposes a recommendation system that supports process participants in taking
risk-informed decisions, with the goal of reducing risks that may arise during process …

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