Comparison of Machine Learning Methods for Predicting Employee Absences

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SEEK ID: https://publications.h-its.org/publications/1314

SEEK ID: https://publications.h-its.org/publications/1314

DOI: 10.11588/emclpp.2021.02.81078

Research Groups: Data Mining and Uncertainty Quantification

Publication type: Unpublished

Journal: Preprint Series of the Engineering Mathematics and Computing Lab

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Date Published: 4th May 2021

URL: https://journals.ub.uni-heidelberg.de/index.php/emcl-pp/article/view/81078

Registered Mode: manually

Authors: Alejandra Jayme, Philipp Lösel, Vincent Heuveline

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Jayme, A., Lösel, P. D., Fischer, J., & Heuveline, V. (2021). Comparison of Machine Learning Methods for Predicting Employee Absences. Preprint Series of the Engineering Mathematics and Computing Lab, Nr. 02 (2021): Comparison of Machine Learning Methods for Predicting Employee Absences. https://doi.org/10.11588/EMCLPP.2021.02.81078
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Created: 15th Nov 2021 at 09:43

Last updated: 5th Mar 2024 at 21:24

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