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A Similarity-Based Approach for the All-Time Demand Predict..:
Steuer, Daniel
;
Hutterer, Verena
;
Korevaar, Peter
.
Proceedings of the 51st Hawaii International Conference on System Sciences. , 2018
Link:
http://hdl.handle.net/10125/50078
RT Journal T1 <Title>A Similarity-Based Approach for the All-Time Demand Prediction of New Automotive Spare Parts</Title> UL https://suche.suub.uni-bremen.de/peid=base-ftunivhawaiimano:oai:scholarspace.manoa.hawaii.edu:10125_50078&Exemplar=1&LAN=DE A1 Steuer, Daniel A1 Hutterer, Verena A1 Korevaar, Peter A1 Fromm, Hansjoerg YR 2018 K1 Service Analytics K1 0 JF Proceedings of the 51st Hawaii International Conference on System Sciences LK http://hdl.handle.net/10125/50078 DO http://hdl.handle.net/10125/50078 SF ELIB - SuUB Bremen
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