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 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 …

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

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 …

Process discovery is the learning task that entails the construction of process models from
event logs of information systems. Typically, these event logs are large data sets that contain …

Processes are an integral part of nearly all organizations, driving their daily operations and
support activities. Increasingly, these business processes are supported by some …

OBJECTIVE: Clinical pathway analysis, as a pivotal issue in ensuring specialized,
standardized, normalized and sophisticated therapy procedures, is receiving increasing …

Process mining applies robust methodologies using data mining and machine learning for
pattern recognition, using models that represent the process flow identified by the sequence …

Existing process mining techniques are able to discover process models from event logs
where each event is known to have been produced by a given process instance. In this …

Investigation of learning tactics and strategies has received increasing attention by the
Learning Analytics (LA) community. While previous research efforts have made notable …