Research Paper: Process Mining and Synthetic Health Data: Reflections and Lessons Learnt

Bullward, A, Aljebreen, A orcid.org/0000-0002-4746-3446, Coles, A orcid.org/0000-0002-2657-0090 et al. (2 more authors) (2023) Research Paper: Process Mining and Synthetic Health Data: Reflections and Lessons Learnt. In: Lecture Notes in Business Information Processing. 4th International Conference on Process Mining, 23-28 Oct 2022, Bozen-Bolzano, Italy. Springer Nature , pp. 341-353. ISBN 978-3-031-27814-3

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Item Type: Proceedings Paper
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© 2023 The Author(s). This chapter is licensed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Keywords: Data grading; Process mining; Simulacrum; Synthetic data; Taxonomy
Dates:
  • Published: 26 March 2023
  • Published (online): 26 March 2023
  • Accepted: 16 September 2022
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Computing (Leeds)
Depositing User: Symplectic Publications
Date Deposited: 05 Apr 2023 09:11
Last Modified: 18 Apr 2023 22:54
Status: Published
Publisher: Springer Nature
Identification Number: 10.1007/978-3-031-27815-0_25
Open Archives Initiative ID (OAI ID):

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