Prediction of business process instances with dynamic Bayesian networks

Brunk J, Revoredo K, Stierle M, Matzner M, Delfmann P, Becker J (2018)


Publication Status: Published

Publication Type: Conference contribution, Original article

Publication year: 2018

Publisher: CEUR-WS

Book Volume: 2270

Pages Range: 50-54

Conference Proceedings Title: Proceedings of the 8th International Symposium on Data-driven Process Discovery and Analysis (SIMPDA 2018)

Event location: Sevilla ES

URI: http://ceur-ws.org/Vol-2270/short1.pdf

Authors with CRIS profile

Related research project(s)

How to cite

APA:

Brunk, J., Revoredo, K., Stierle, M., Matzner, M., Delfmann, P., & Becker, J. (2018). Prediction of business process instances with dynamic Bayesian networks. In Paolo Ceravolo and López M. Teresa Gómez and Keulen Maurice Van (Eds.), Proceedings of the 8th International Symposium on Data-driven Process Discovery and Analysis (SIMPDA 2018) (pp. 50-54). Sevilla, ES: CEUR-WS.

MLA:

Brunk, Jens, et al. "Prediction of business process instances with dynamic Bayesian networks." Proceedings of the 8th International Symposium on Data-Driven Process Discovery and Analysis, SIMPDA 2018, Sevilla Ed. Paolo Ceravolo and López M. Teresa Gómez and Keulen Maurice Van, CEUR-WS, 2018. 50-54.

BibTeX: Download