Predicting Process Behaviour using Deep Learning

TL;DR

This paper introduces a novel deep learning approach using recurrent neural networks to predict the next event in business processes, outperforming existing methods and advancing process prediction techniques.

Contribution

It presents a new deep learning method for process prediction, moving beyond traditional explicit process models and demonstrating superior accuracy on real datasets.

Findings

Outperforms state-of-the-art prediction methods

Validated on two real datasets

Achieves higher prediction precision

Abstract

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 recurrent 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 application of deep learning methods. The approach is evaluated on two real datasets and our results surpass the state-of-the-art in prediction precision.