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Data science, predictive analytics, and big data : a revolution that will transform supply chain design and management
Waller, Matthew A.; Fawcett, Stanley E. - In: Journal of business logistics : JBL 34 (2013) 2, pp. 77-84
Persistent link: https://www.econbiz.de/10009766760
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Click here for a data scientist : big data, predictive analytics, and theory development in the era of a maker movement supply chain
Fawcett, Stanley E.; Waller, Matthew A. - In: Journal of business logistics : JBL 34 (2013) 4, pp. 249-252
Persistent link: https://www.econbiz.de/10010243163
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Data science, predictive analytics, and big data in supply chain management : current state and future potential
Schoenherr, Tobias; Speier-Pero, Cheri - In: Journal of business logistics : JBL 36 (2015) 1, pp. 120-132
Persistent link: https://www.econbiz.de/10011482310
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Big data analytics for forecasting cycle time in semiconductor wafer fabrication system
Wang, Junliang; Zhang, Jie - In: International journal of production research 54 (2016) 23/24, pp. 7231-7244
Persistent link: https://www.econbiz.de/10011566349
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FRED-MD : a monthly database for macroeconomic research
McCracken, Michael W.; Ng, Serena - 2015
Persistent link: https://www.econbiz.de/10011297664
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Comparative analysis of methods for prediction continuous numerical features on big datasets
Kinshakov, Eduard; Parfenenko, Yuliia; Shendryk, Vira - In: Technology audit and production reserves 6 (2021) 2/62, pp. 15-17
Persistent link: https://www.econbiz.de/10013167729
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Investigating the predictive ability of ONS big data-based indicators
Kapetanios, George; Papailias, Fotis - In: Journal of forecasting 41 (2022) 2, pp. 252-258
Persistent link: https://www.econbiz.de/10012817730
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Does high-frequency social media data improve forecasts of low-frequency consumer confidence measures?
Lehrer, Steven F.; Xie, Tian; Zeng, Tao - In: Journal of financial econometrics 19 (2021) 5, pp. 910-933
Persistent link: https://www.econbiz.de/10012799054
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The power of text-based indicators in forecasting the Italian economic activity
Aprigliano, Valentina; Emiliozzi, Simone; Guaitoli, Gabriele - 2021
Persistent link: https://www.econbiz.de/10012612865
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Option return predictability with machine learning and big data
Bali, Turan G.; Beckmeyer, Heiner; Mörke, Mathis; … - 2021 - This version: August 20, 2021
Drawing upon more than 12 million observations over the period from 1996 to 2020, we find that allowing for nonlinearities significantly increases the out-of-sample performance of option and stock characteristics in predicting future option returns. Besides statistical significance, the...
Persistent link: https://www.econbiz.de/10012620725