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Big data, predictive marketing and churn management in the IoT era
Munnia, Alessia; Nicotra, Melita; Romano, Marco - In: The Internet of Things entrepreneurial ecosystems : …, (pp. 75-93). 2020
Persistent link: https://www.econbiz.de/10012252798
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The prediction for London gold price : improved empirical mode decomposition
Hua, Qiuling; Jiang, Tingfeng - In: Applied economics letters 22 (2015) 16/18, pp. 1404-1408
Persistent link: https://www.econbiz.de/10011380258
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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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IBM predicts cloud computing demand for sports tournaments
Baughman, Aaron K.; Bogdany, Richard; Harrison, Benjie; … - In: Interfaces : the INFORMS journal on the practice of … 46 (2016) 1, pp. 33-48
Persistent link: https://www.econbiz.de/10011448036
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Predicting road conditions with internet search
Askitas, Nikos - 2016
Traffic jams are an important problem both on an individual and on a societal level and much research has been done on trying to explain their emergence. The mainstream approach to road traffic monitoring is based on crowdsourcing roaming GPS devices such as cars or cell phones. These systems...
Persistent link: https://www.econbiz.de/10011411387
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Predicting road conditions with internet search
Askitas, Nikos - 2015
Traffic jams are an important problem both on an individual and on a societal level and much research has been done on trying to explain their emergence. The mainstream approach to road traffic monitoring is based on crowdsourcing roaming GPS devices such as cars or cell phones. These systems...
Persistent link: https://www.econbiz.de/10011387551
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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