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 …

The growing interest in process mining is fueled by the increasing availability of event data.
Process mining techniques use event logs to automatically discover process models, check …

In hospitals, huge amounts of data are recorded concerning the diagnosis and treatments of
patients. Process mining can exploit such data and provide an accurate view on healthcare …

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 …

Various process mining techniques exist, eg, techniques that automatically discover a
descriptive model of the execution of a process, based on event data. Whereas the premise …

Process discovery methods automatically infer process models from event logs. Often, event
logs contain so-called noise, eg, infrequent outliers or recording errors, which obscure the …

Process Discovery is concerned with the automatic generation of a process model that
describes a business process from execution data of that business process. Real life event …

Process discovery, one of the key challenges in process mining, aims at discovering process
models from process execution data stored in event logs. Most discovery algorithms assume …

As business environments become more dynamic and complex, it becomes indispensable
for organizations to objectively analyze business processes, monitor the existing and …

Conformance checking is a key process mining task to confront the normative behavior
imposed by a process model with the actual behavior recorded in a log. While this problem …