Publisher
Springer International Publishing
Reference16 articles.
1. Augusto, A., Mendling, J., Vidgof, M., Wurm, B.: The connection between process complexity of event sequences and models discovered by process mining. Inf. Sci. 598, 196–215 (2022)
2. Bergstra, J., Bardenet, R., Bengio, Y., Kégl, B.: Algorithms for hyper-parameter optimization. In: Advances in Neural Information Processing Systems, vol. 24 (2011)
3. vanden Broucke, S.K., Delvaux, C., Freitas, J., Rogova, T., Vanthienen, J., Baesens, B.: Uncovering the relationship between event log characteristics and process discovery techniques. In: Business Process Management Workshops, pp. 41–53 (2013)
4. Brunk, J., Stottmeister, J., Weinzierl, S., Matzner, M., Becker, J.: Exploring the effect of context information on deep learning business process predictions. J. Decis. Syst. 29(sup1), 328–343 (2020)
5. Burattin, A.: PLG2: multiperspective process randomization with online and offline simulations. In: CEUR Workshop Proceedings (2016)