Process mining is a growing and promising study area focused on understanding processes
and to help capture the more significant findings during real execution rather than, those …

Process mining enables the reconstruction and evaluation of business processes based on
digital traces in IT systems. An increasingly important technique in this context is process …

Process mining techniques can be used to analyse business processes using the data
logged during their execution. These techniques are leveraged in a wide range of domains …

Abstract Self-Regulated Learning (SRL) is related to increased learning performance.
Scaffolding learners in their SRL activities in a computer-based learning environment can …

Process mining enables organizations to uncover their actual processes, provide insights,
diagnose problems, and automatically trigger corrective actions. Process mining is an …

Digitalization through Industry 4.0 technologies is one of the essential steps for the complete
collaboration, communication, and integration of heterogeneous resources in a …

Concept drift in process mining (PM) is a challenge as classical methods assume processes
are in a steady-state, ie, events share the same process version. We conducted a systematic …

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 …

Abstract Information management is the management of organizational processes,
technologies, and people which collectively create, acquire, integrate, organize, process …

Robotic process automation (RPA) provides a virtual workforce to automatize manual,
repetitive and error-prone tasks. However, successful process automation requires …