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

Faculty/Chair:

Author:

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:

;

;

Language:

English

Remark:

Dissertation, Otto-Friedrich-Universität Bamberg, 2021

Type:

Doctoralthesis

URI:

Activation date:

March 31, 2022

Permalink https://fis.uni-bamberg.de/handle/uniba/53679