Predictive Recommining: Learning Relations Between Event Log Characteristics and Machine Learning Approaches for Supporting Predictive Process Monitoring-Reference-Cited by-同舟云学术

Predictive Recommining: Learning Relations Between Event Log Characteristics and Machine Learning Approaches for Supporting Predictive Process Monitoring

Published:2023 Issue: Volume: Page:69-76
ISSN:1865-1348
Container-title:Lecture Notes in Business Information Processing
language:
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Author:

Drodt Christoph^ORCID,Weinzierl Sven^ORCID,Matzner Martin^ORCID,Delfmann Patrick^ORCID

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-34674-3_9

Reference16 articles.

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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)

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