Content
Process mining is a family of new data analysis methods that aims to discover, monitor, and improve business processes and is increasingly adopted by the industry. It analyses so-called event logs, which capture the real execution data of business processes, and are usually collected from one or several information systems supporting the execution of business processes.
The main difference from traditional data analysis techniques is that process mining focuses on the process perspective. It aims to reveal the complex order relations among the activities captured in the event log.
This lecture gives an introduction to the field of process mining. After introducing basic formalisms, the lecture provides a detailed and algorithmic perspective on the three key process mining perspectives: process discovery, conformance checking, and enhancement.
Furthermore, it is discussed how typically process mining projects are executed.
Finally, the lecture shows how process mining is currently used in industrial environments.
