  Process mining traditionally relies on input consisting of low-level events
that capture individual activities, such as filling out a form or processing a
product. However, many of the complex problems inherent in processes, such as
bottlenecks and compliance issues, extend beyond the scope of individual events
and process instances. Consider congestion, for instance, it can involve and
impact numerous cases, much like how a traffic jam affects many cars
simultaneously. High-level event mining seeks to address such phenomena using
the regular event data available. This report offers an extensive and
comprehensive overview at existing work and challenges encountered when lifting
the perspective from individual events and cases to system-level events.
