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Demand Forecasting Using Ensemble Learning for Effective Scheduling of Logistic Orders.
Katharina Lingelbach
Yannick Lingelbach
Sebastian Otte
Michael Bui
Tobias Künzell
Matthias Peissner
Published in:
AHFE (13) (2021)
Keyphrases
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ensemble learning
demand forecasting
ensemble methods
generalization ability
base classifiers
historical data
machine learning
feature selection
pattern recognition
high dimensional
support vector machine
management system
supply chain
prediction accuracy
random forest