Handling Data Problems in Machine Learning Applications in Supply Chain Management : A Multiple-Case Study on the Analysis of Data Augmentation Approaches




Faculty/Professorship: Supply Chain Management  ; Fakultät Sozial- und Wirtschaftswissenschaften: Abschlussarbeiten 
Author(s): Menden, Christian
Publisher Information: Stuttgart : Fraunhofer Verlag
Year of publication: 2022
Pages: xiv, 335 ; Illustrationen, Diagramme
ISBN: 978-3-8396-1786-1
Series ; Volume: Publication Series on Logistics and Technologies ; 10
Supervisor(s): Pflaum, Alexander  ; Martin, Alexander; Sucky, Eric  
Language(s): English
Remark: 
Dissertation, Otto-Friedrich-Universität Bamberg, 2021
Type: Doctoralthesis
URI: https://fis.uni-bamberg.de/handle/uniba/53679
Release Date: 31. March 2022