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 …

Process mining aims to improve operational processes in a data-driven manner. To this end,
process mining offers methods and techniques for systematically analyzing event data …

Process mining techniques can be used to analyse business processes using the data
logged during their execution. These techniques are leveraged in a wide range of domains …

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 …

Both conceptual modeling and machine learning have long been recognized as important
areas of research. With the increasing emphasis on digitizing and processing large amounts …

The increasing number of IoT devices equipped with sensors and actuators pervading every
domain of everyday life allows for improved automated monitoring and analysis of …

During the last years, a number of studies have experimented with applying process
discovery techniques with the goal of automatically modelling human routines as if they …

The field of process mining focuses on distilling knowledge of the (historical) execution of a
process based on the operational event data generated and stored during its execution …

Process event data is a fundamental building block for process mining as event logs portray
the execution trails of business processes from which knowledge and insights can be …

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 …