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 execution of processes in companies generates traces of event data, stored in the
underlying information system (s), capturing the actual execution of the process. Analyzing …

Process mining aims to transform event data recorded in information systems into
knowledge of an organisation's business processes. The results of process mining analysis …

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

The latest developments in industry involved the deployment of digital twins for both long
and short term decision making, such as supply chain management, production planning …

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 …

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 …

It is common for business processes to exhibit a high degree of internal heterogeneity, in the
sense that the executions of the process differ widely from each other due to contextual …

Operational processes need to change to adapt to changing circumstances, eg, new
legislation, extreme variations in supply and demand, seasonal effects, etc. While the topic …

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 …