Predicting process behaviour using deep learning

Joerg Evermann, Jana-Rebecca Rehse, Peter Fettke

In: Decision Support Systems 100 Seiten 129-140 Elsevier 2017.


Predicting business process behaviour is an important aspect of business process management. Motivated by research in natural language processing, this paper describes an application of deep learning with recur- rent neural networks to the problem of predicting the next event in a business process. This is both a novel method in process prediction, which has largely relied on explicit process models, and also a novel applica- tion of deep learning methods. The approach is evaluated on two real datasets and our results surpass the state-of-the-art in prediction precision.

Weitere Links

Deutsches Forschungszentrum für Künstliche Intelligenz
German Research Center for Artificial Intelligence