Process mining (PM) is a well‐known research area that includes techniques,
methodologies, and tools for analyzing processes in a variety of application domains. In the …

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 …

Process mining techniques analyze processes based on event data. We analyzed the
trajectories of patients in a Dutch hospital from their registration in the emergency room until …

Decision mining enriches process models with rules underlying decisions in processes
using historical process execution data. Choices between multiple activities are specified …

Process mining techniques analyze processes based on events stored in event logs. Yet,
low-level events recorded by information systems may not directly match high-level activities …

Using process mining actionable insights can be extracted from the event data stored in
information systems. The analysis of event data may reveal many performance and …

While noting the importance of data quality, existing process mining methodologies (i) do not
provide details on how to assess the quality of event data (ii) do not consider how the …

Many organizations employ an information system that supports the execution of their
business processes. During the execution of these processes, event data are stored in the …

Process mining is a well-established discipline with applications in many industry sectors,
including healthcare. To date, few publications have considered the context in which …

Digitalization of knowledge work in communication-intensive domains such as intellectual
property protection poses great challenges but also opportunities to improve today's working …