Event sequence data is increasingly available. Many business operations are supported by
information systems that record transactions, events, state changes, message exchanges …

Process mining research has made tremendous progress in analyzing, visualizing, and
predicting the performance of business processes through computational techniques …

Event sequence data is increasingly available. Many business operations are supported by
information systems that record transactions, events, state changes, message exchanges …

The prospect of data misuse negatively affecting our life has lead to the concept of
responsible data science. It advocates for responsibility to be built, by design, into data …

Cardiology departments receive many outpatients from primary care services and it is
necessary to differentiate which patients need special attention. One-stop clinics were …

The understandability of conceptual models depends not only on the model's inner
complexity and representation but also on the personal factors of the model's audience. This …

Process mining and visual analytics have developed independent from each other over a
longer period of time, even though they focus on similar research questions and they work …

The understandability of conceptual models depends not only on the model's inner
complexity and representation but also on the personal factors of the model's audience. This …

Process mining (PM) has become fundamental for data-driven process analysis. It enables
organizations to identify inefficiencies and areas for improvement. Central to the …

Process mining defines a set of techniques that take event sequence data in the form of
event logs as an input in order to produce evidence-based insights into the execution of …