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Predicting process behaviour using deep learning
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DOI：10.1016/j.dss.2017.04.003.png)
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Abstract
En 中文
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. (C) 2017 Elsevier B.V. All rights reserved.
Keywords:
Process management
Runtime support
Process prediction
Deep learning
Neural networks
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