Process Mining is a new kind of Business Analytics and has emerged as a powerful family of
Process Science techniques for analysing and improving business processes. Although …

Purpose When improving business processes, process analysts can use data-driven
methods, such as process mining, to identify improvement opportunities. However, despite …

In most business processes, several activities need to be executed by human resources and
cannot be fully automated. To evaluate resource performance and identify best practices as …

Existing business process drift detection methods do not work with event streams. As such,
they are designed to detect inter-trace drifts only, ie drifts that occur between complete …

Abstract Service processes, for example in transportation, telecommunications or the health
sector, are the backbone of today׳ s economies. Conceptual models of service processes …

A process variant represents a collection of cases with certain shared characteristics, eg
cases that exhibit certain levels of performance. The comparison of business process …

Business process improvement initiatives typically employ various process analysis
techniques, including evidence-based analysis techniques such as process mining, to …

A Digital Twin ideally manifests the same behaviour (in silico) of its physical counterpart.
While considerable attention has been paid to the development of Digital Twins for physical …

Efficient allocation of resources to activities is pivotal in executing business processes but
remains challenging. While resource allocation methodologies are well-established in …

Data centres have become the backbone of large Cloud services and applications,
providing virtually unlimited elastic and scalable computational and storage resources. The …