Supporting Process Mining with Recovered Residual Data
- DOI
- 10.1007/978-3-030-63479-7_27
- Published
- 2020
- Container
- Lecture Notes in Business Information Processing
- Publisher
- Springer International Publishing
- Open access
- unknown
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uncertain Score 64/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
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Cite this work
BibTeX
@article{allodium:10.1007/978-3-030-63479-7_27,
title = {Supporting Process Mining with Recovered Residual Data},
author = {Ludwig Englbrecht and Stefan Schönig and Günther Pernul},
year = {2020},
journal = {Lecture Notes in Business Information Processing},
doi = {10.1007/978-3-030-63479-7_27},
url = {https://doi.org/10.1007/978-3-030-63479-7_27}
}RIS
TY - JOUR TI - Supporting Process Mining with Recovered Residual Data AU - Ludwig Englbrecht AU - Stefan Schönig AU - Günther Pernul PY - 2020 JO - Lecture Notes in Business Information Processing DO - 10.1007/978-3-030-63479-7_27 UR - https://doi.org/10.1007/978-3-030-63479-7_27 ER -
APA
Englbrecht, L., Schönig, S., & Pernul, G. (2020). Supporting Process Mining with Recovered Residual Data. Lecture Notes in Business Information Processing. https://doi.org/10.1007/978-3-030-63479-7_27
Source records
- crossref · retrieved 2026-09-25T11:42:55.258Z