Process mining allows analysts to exploit logs of historical executions of business processes
to extract insights regarding the actual performance of these processes. One of the most …

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 …

Robotic process automation (RPA) is an emerging technology that allows organizations
automating repetitive clerical tasks by executing scripts that encode sequences of fine …

Healthcare organizations are confronted with challenges including the contention between
tightening budgets and increased care needs. In the light of these challenges, they are …

This thesis is about process mining: the analysis an organization's processes by using
process execution data. During the handling of a case or process instance data about the …

Introduction An approach to building a hybrid simulation of patient flow is introduced with a
combination of data-driven methods for automation of model identification. The approach is …

Anomaly detection in process mining aims to recognize outlying or unexpected behavior in
event logs for purposes such as the removal of noise and identification of conformance …

Predictive analytics is an essential capability in business process management to forecast
future status and performance of business processes. In this paper, we focus on one …

Operators in industrial manufacturing environments are under pressure to cope with
increasing flexibility and complexity of work. The automation of manufacturing requires …

In the last years, process mining has significantly matured and has increasingly been
applied by companies in industrial contexts. However, with the growing number of process …