The great losses caused by financial fraud have attracted continuous attention from
academia, industry, and regulatory agencies. More concerning, the ongoing coronavirus …

Process mining is a growing and promising study area focused on understanding processes
and to help capture the more significant findings during real execution rather than, those …

Process mining, ie, a sub-field of data science focusing on the analysis of event data
generated during the execution of (business) processes, has seen a tremendous change …

Background The length of stay (LOS) is an important indicator of the efficiency of hospital
management. Reduction in the number of inpatient days results in decreased risk of …

Process Mining focuses on extracting knowledge from data generated and stored in
corporate information systems in order to analyze executed processes. In the healthcare …

As an emerging technology in the era of Industry 4.0, digital twin is gaining unprecedented
attention because of its promise to further optimize process design, quality control, health …

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 …

Educational process mining (EPM) is an emerging field in educational data mining (EDM)
aiming to make unexpressed knowledge explicit and to facilitate better understanding of the …

Predictive Process Monitoring [29] is a branch of process mining that aims at predicting the
future of an ongoing (uncompleted) process execution. Typical examples of predictions of …

Process discovery is the problem of, given a log of observed behaviour, finding a process
model that 'best'describes this behaviour. A large variety of process discovery algorithms …