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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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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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Shocks to supply chain networks and firm dynamics : an application of double machine learning
Miyakawa, Daisuke - 2019
Persistent link: https://www.econbiz.de/10012134913
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Predicting risk perception : new insights from data science
Bhatia, Sudeep - In: Management science : journal of the Institute for … 65 (2019) 8, pp. 3800-3823
Persistent link: https://www.econbiz.de/10012062811
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Big data in hotel revenue management : exploring cancellation drivers to gain insights into booking cancellation behavior
Antonio, Nuno; Almeida, Ana de; Nunes, Luis - In: The Cornell hospitality quarterly 60 (2019) 4, pp. 298-319
Persistent link: https://www.econbiz.de/10012108005
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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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Early detection of vessel delays using combined historical and real-time information
Kim, Sungil; Kim, Heeyoung; Park, Yongro - In: Journal of the Operational Research Society : OR 68 (2017) 2, pp. 182-191
Persistent link: https://www.econbiz.de/10011625892
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Crowd-squared : amplifying the predictive power of search trend data
Brynjolfsson, Erik; Geva, Tomer; Reichman, Shachar - In: Management information systems : mis quarterly 40 (2016) 4, pp. 941-961
Persistent link: https://www.econbiz.de/10011612504
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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