Event Data and Process Model Forecasting

Author:

Zhou WenjunORCID,Polyvyanyy ArtemORCID,Bailey James

Publisher

Springer Nature Switzerland

Reference23 articles.

1. van der Aalst, W.M.P.: Process discovery: capturing the invisible, pp. 28–41. IEEE Comput. Intell, Mag (2010)

2. van der Aalst, W.M.P.: Process Mining - Data science in action, Second Edition. Springer (2016) https://doi.org/10.1007/978-3-662-49851-4

3. van der Aalst, W.M.P., Schonenberg, M.H., Song, M.: Time prediction based on process mining. Inf. Syst. 36(2), 450–475 (2011)

4. Buijs, J.C.A.M., van Dongen, B.F., van der Aalst, W.M.P.: Int. J. Cooperative Inf. Syst. Quality dimensions in process discovery: the importance of fitness, precision, generalization and simplicity 23(01), 1440001 (2014)

5. Cardoso, J., Lenic, M.: Web process and workflow path mining using the multimethod approach. Int. J. Bus. Intell. Data Min 1(3), 304–328 (2006)

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