Process mining provides a rich set of techniques to discover valuable knowledge of
business processes based on data that was recorded in different types of information …

Currently, the process mining aims at an automatic extraction of process knowledge from the
event logs recorded by information systems, and, therefore, by using these techniques, it …

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

Performing business process analysis in healthcare organizations is particularly difficult due
to the highly dynamic, complex, ad hoc, and multi-disciplinary nature of healthcare …

Predictive modeling approaches in business process management provide a way to
streamline operational business processes. For instance, they can warn decision makers …

Learning analytics has the potential to detect and explain characteristics of learning
strategies through analysis of trace data and communicate the findings via feedback …

Process mining is the research domain that is dedicated to the a posteriori analysis of
business process executions. The techniques developed within this research area are …

We focus on the problem of detecting anomalous run-time behavior of distributed
applications from their execution logs. Specifically we mine templates and template …

Generalizability of the value of methods based on learning analytics remains one of the big
challenges in the field of learning analytics. One approach to testing generalizability of a …

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 …