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 execution of processes in companies generates traces of event data, stored in the
underlying information system (s), capturing the actual execution of the process. Analyzing …

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

Process mining provides a rich set of techniques to discover valuable knowledge of
business processes based on data that was recorded in different types of information …

This paper proposes and evaluates an approach to the parallelization, deployment and
management of bioinformatics applications that integrates several emerging technologies …

Over the last decades, the field of process mining has emerged as a response to a growing
amount of event data being recorded in the context of business processes. Concurrently with …

The increasing number of IoT devices equipped with sensors and actuators pervading every
domain of everyday life allows for improved automated monitoring and analysis of …

Abstract Information systems have been widely adopted to support service processes in
various domains, eg, in the telecommunication, finance, and health sectors. Information …

The Internet of Things (IoT) enables software-based access to vast amounts of data streams
from sensors measuring physical and virtual properties of smart devices and their …