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Forecasting for big data: does suboptimality matter?

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Publication:1651673
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DOI10.1016/J.COR.2017.05.007zbMath1392.62347OpenAlexW2613497473MaRDI QIDQ1651673

Konstantinos Nikolopoulos, Fotios Petropoulos

Publication date: 12 July 2018

Published in: Computers \& Operations Research (Search for Journal in Brave)

Full work available at URL: http://opus.bath.ac.uk/55460/1/COR_2017_Suboptimality_post_print_.pdf


zbMATH Keywords

forecastingoptimisationbig dataretail


Mathematics Subject Classification ID

Applications of statistics in engineering and industry; control charts (62P30) Learning and adaptive systems in artificial intelligence (68T05)


Related Items (4)

Managing food security through food waste and loss: small data to big data ⋮ Generalizing the Theta method for automatic forecasting ⋮ Exploring the sources of uncertainty: why does bagging for time series forecasting work? ⋮ We need to talk about intermittent demand forecasting




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