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Identifying food insecurity in food sharing networks via machine learning
Nica-Avram, Georgiana; Harvey, John; Smith, Gavin; … - In: Journal of business research : JBR 131 (2021), pp. 469-484
Persistent link: https://www.econbiz.de/10012545077
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Harnessing the power of machine learning analytics to understand food systems dynamics across development projects
Garbero, Alessandra; Carneiro, Bia; Resce, Giuliano - In: Technological forecasting & social change : an … 172 (2021), pp. 1-15
Persistent link: https://www.econbiz.de/10013174262
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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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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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Big data in Asian central banks
Cornelli, Giulio; Dörr, Sebastian; Gambacorta, Leonardo; … - 2022
This paper reviews the use of big data in Asian central banks, leveraging on a survey conducted among the members of the Irving Fisher Committee. The analysis reveals four main insights. First, Asian central banks define big data in a more encompassing way that includes unstructured...
Persistent link: https://www.econbiz.de/10013041196
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Do consumer perceptions of tanking impact attendance at national basketball association games? : a sentiment analysis approach
Gong, Hua; Watanabe, Nicholas M.; Soebbing, Brian P.; … - In: Journal of sport management : the official journal of … 35 (2021) 3, pp. 254-265
Persistent link: https://www.econbiz.de/10012658727
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Sustainable innovations in the food industry through artificial intelligence and big data analytics
Sharma, Saurabh; Gahlawat, Vijay Kumar; Rahul, Kumar; … - In: Logistics 5 (2021) 4, pp. 1-16
The agri-food sector is an endless source of expansion for nourishing a vast population, but there is a considerable … (AI) and big data. This paper addresses the research concerning AI and big data analytics in the food industry, including … production patterns are covered along with food sub-sector applications for artificial intelligence techniques. It is found that …
Persistent link: https://www.econbiz.de/10012661275
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Artificial intelligence for cluster analysis : case study of transport companies in Czech Republic
Kalinová, Eva - In: Journal of risk and financial management : JRFM 14 (2021) 9, pp. 1-36
What is the situation of the transport sector in the Czech Republic and what is its importance for the economy of the Czech Republic? How and to what extent do businesses operating in this sector influence the sector as such, and how many businesses in this sector have such influence?...
Persistent link: https://www.econbiz.de/10012628268
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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
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Predicting poverty and malnutrition for targeting, mapping, monitoring, and early warning
McBride, Linden; Barrett, Christopher B.; Browne, … - In: Applied economic perspectives and policy 44 (2022) 2, pp. 879-892
Persistent link: https://www.econbiz.de/10013274051