Tag: machine learning techniques
Multiresolution forecasting for commercial processes
Dr Michael Thrun and colleagues Tino Gehlert and Quirin Stier investigated data-driven forecasting techniques for commercially relevant processes, using statistical and machine learning models to investigate future uncertainties in supply chains or call centre management. They found that the new methods, using a so-called wavelet approach – which is able to take varying seasonality into account – performed well compared […]
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