Process Mining allows organizations to obtain actual business process models from event
logs (discovery), to compare the event log or the resulting process model in the discovery …

Various process mining techniques exist, eg, techniques that automatically discover a
descriptive model of the execution of a process, based on event data. Whereas the premise …

Given the challenges associated to the process discovery task, more than a hundred
research studies addressed the problem over the past two decades. Despite the richness of …

Nowadays, more and more process data are automatically recorded by information systems,
and made available in the form of event logs. Process mining techniques enable process …

Data of sequential nature arise in many application domains in the form of, eg, textual data,
DNA sequences, and software execution traces. Different research disciplines have …

Online process mining refers to a class of techniques for analyzing in real-time event
streams generated by the execution of business processes. These techniques are crucial in …

The strong impulse to digitize processes and operations in companies and enterprises have
resulted in the creation and automatic recording of an increasingly large amount of process …

Detecting anomalies in process runtime behavior is crucial: they might reflect, on the one
side, security breaches and fraudulent behavior and on the other side desired deviations …

One of the challenges in applying process mining algorithms on real event data, is the
presence of outlier behavior. Such behaviour often leads to complex, incomprehensible …

One of the main challenges in applying process mining on real event data, is the presence
of noise and rare behaviour. Applying process mining algorithms directly on raw event data …