Process mining allows analysts to exploit logs of historical executions of business processes
to extract insights regarding the actual performance of these processes. One of the most …

Process mining is a family of techniques that aim at analyzing business process execution
data recorded in event logs. Conformance checking is a branch of this discipline embracing …

Clinical guidelines aim at improving the quality of care processes through evidence-based
insights. However, there may be good reasons to deviate from such guidelines or the …

Process mining can be seen as the “missing link” between data mining and business
process management. Although nowadays, in the context of process mining, process …

Due to the omnipresence of digitally supported processes and storage facilities nowadays,
plenty of organisational data is available in the typical organisation. Process mining aims to …

Process mining can be seen as the “missing link” between data mining and business
process management. The lion's share of process mining research has been devoted to the …

Declarative modeling has attracted much attention over the last years, resulting in the
development of several academic declarative modeling techniques and tools. The absence …

RPA technologies allow the automation of repeated processes through indirect or direct
instruction from the end-user. While declarative authoring techniques provide a powerful tool …

Declarative process modeling languages are especially suitable to model loosely-
structured, unpredictable business processes. One of the most prominent of these …

One major task in business process management is that of aligning real process execution
traces to a process model by (minimally) introducing and eliminating steps. Here, we look at …