When a company decides to automate its business processes by means of RPA (Robotic
Process Automation), there are two fundamental questions that need to be answered. Firstly …

Process mining applications in healthcare is a field widely investigated in the last years. Its
diffusion is driven by increasing digitalization and the availability of large quantities of …

Process mining applies data mining to the data produced in the slipstream of the executing
process instances. Hence, it enables organisations gain transparency about how exactly the …

Modern manufacturing systems generate large amounts of data regarding the automation of
business processes, which can be analyzed with process mining techniques. However …

Process mining endeavors to extract fact-based insights into processes based on event data
stored in information systems. Due to the variety of processes in different fields and …

The majority of (business) processes described in literature are discrete, ie, they result in an
identifiable and distinct outcome such as a settled customer claim or a produced part …

To improve processes in logistics, it is crucial to understand the factors influencing
performance. To achieve this, process mining utilizes event data to extract insights into …

In modern business processes, the amount of data collected has increased substantially in
recent years. Because this data can potentially yield valuable insights, automated …

As a result of industrial developments and revolutions, the importance of data has increased.
The reflection of this increasing importance in process mining is the importance of scope …

Costing systems play a crucial role in many managerial decisions; thus, it is crucial that
costing systems provide appropriate information. Time-driven activity-based costing systems …