It may be tempting for researchers to stick to incremental extensions of their current work to
plan future research activities. Yet there is also merit in realizing the grand challenges in …

Process discovery is an essential discipline within process mining, which deals with the data-
driven generation of insights into operational processes. From event data that capture …

Most process mining techniques are primarily automated, meaning that process analysts
input information and receive output. As a result, process mining techniques function like …

Process models are important for supporting organizations in documenting, understanding
and monitoring their business. When these process models become outdated, they need to …

Process discovery learns process models from event data and is a crucial discipline within
process mining. Most existing approaches are fully automated, ie, event data is provided …

Incremental mining improves the quality of process mining by analyzing the differences
between event logs and a reference model to obtain valuable information to update the …

In our general research we study adaptive systems of autonomous agents–with a strong
emphasis on agents in cyber-physical systems (CPS). To enable adaptivity, we have a …

Conventional process discovery algorithms are fully automated and work as a black box
from the user's perspective. Event data is fed into the discovery algorithm, and a process …

Online courses: Four open online process mining courses, eg, Process Mining: Data science
in Action (Coursera with> 158.000 registered participants) Course and curriculum …