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Demand Forecasting based on Pairwise Item Associations.
Ayhan Demiriz
Published in:
Complex Adaptive Systems (2014)
Keyphrases
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demand forecasting
pairwise
historical data
supply chain
exponential smoothing
association rules
similarity measure
forecasting accuracy
markov random field
loss function
semi supervised
water resources
neural network
long term
hybrid model