Predicting process behaviour using deep learning

Joerg Evermann; Jana-Rebecca Rehse; Peter Fettke
In: Decision Support Systems, Vol. 100, Pages 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.

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