Predicting Process Behaviour using Deep Learning

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Evermann, Joerg; Rehse, Jana-Rebecca; Fettke, Peter;
(2016)

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 e... View more
  • References (34)
    34 references, page 1 of 4

    Bahrampour, S., Ramakrishnan, N., Schott, L., Shah, M., 2015. Comparative study of deep learning software frameworks. arXiv preprint arXiv:1511.06435.

    Breuker, D., Matzner, M., Delfmann, P., Becker, J., 2016. Comprehensible predictive models for business processes. MIS Quarterly In press.

    Ceci, M., Lanotte, P. F., Fumarola, F., Cavallo, D. P., Malerba, D., 2014. Completion time and next activity prediction of processes using sequential pattern mining. In: Discovery Science - 17th International Conference, DS 2014, Bled, Slovenia, October 8-10, 2014. Proceedings. pp. 49{61.

    Choi, K., Fazekas, G., Sandler, M. B., 2016. Text-based LSTM networks for automatic music composition. CoRR abs/1604.05358.

    Claes, J., Poels, G., 2012. Process mining and the prom framework: An exploratory survey. In: Business Process Management Workshops. Vol. 132 of Lecture Notes in Business Information Processing. Springer, pp. 187{198.

    Gers, F. A., Schmidhuber, J., 2000. Recurrent nets that time and count. In: IJCNN (3). pp. 189{194.

    Graves, A., 2012. Supervised Sequence Labelling with Recurrent Neural Networks. Vol. 385 of Studies in Computational Intelligence. Springer.

    Gre , K., Srivastava, R. K., Koutn k, J., Steunebrink, B. R., Schmidhuber, J., 2015. LSTM: A search space odyssey. CoRR abs/1503.04069.

    Hastie, T., Tibshirani, R., Friedman, J., 2009. The Elements of Statistical Learning: Data Mining, Inference, and Prediction. Springer Verlag, Berlin, Germany.

    Hochreiter, S., Schmidhuber, J., 1997. Long short-term memory. Neural Computation 9 (8), 1735{1780.

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