Process prediction and machine learning - Detailseite

The digitization of the processes of an organization has made available a vast amount of trace data about the execution of these processes, which allows for the use of data-driven process monitoring techniques such as process prediction. Business process prediction involves learning a predictor from data with the aim of forecasting specific details, such as the next activity to be executed, the time remaining for the completion of a process instance, or key process indicators, for an ongoing process instance. This course focuses on recent developments in business process prediction, covering or touching upon topics such as data pre-processing, machine learning, process mining, process monitoring, process prediction, and evaluation methodology. In a mixture of theoretical, and hands-on sessions, students will be able to gain a deeper understanding of the area of process prediction.

This course will be given in English.