Predictive business process monitoring refers to the act of making predictions about the
future state of ongoing cases of a business process, based on their incomplete execution …

The contemporary process-aware information systems possess the capabilities to record the
activities generated during the process execution. To leverage these process specific fine …

A model is an artefact to represent a specific concept. It maps properties of the concept into
some abstract representation, driven by the purpose of the model. As such, models …

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 …

Predictive Process Monitoring [29] is a branch of process mining that aims at predicting the
future of an ongoing (uncompleted) process execution. Typical examples of predictions of …

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

Traditional approaches for process modeling and process analysis tend to focus on one type
of object (also referred to as cases or instances), and each event refers to precisely one …

The execution of processes leaves trails of event data in information systems. These event
data are analyzed to generate insights and improvements for the underlying process …

Predictive process monitoring is concerned with predicting measures of interest for a
running case (eg, a business outcome or the remaining time) based on historical event logs …