Leveraging Machine Learning in Process Mining

Process Mining (PM) is an application-oriented discipline that provides data-driven approaches to improve business processes. It connects model-based process analysis and data-oriented analysis techniques.
PM algorithms allow to discover, monitor, and improve real processes by extracting knowledge from the event logs available in information systems. Machine Learning (ML) can support PM in several ways: boosting pre-processing procedures, handing variant analysis, and discovering potential cause-effect relationships, and others. The course explains the key PM concepts and techniques and shows practical case studies where ML is applied in combination with PM.