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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
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Predicting poverty using geospatial data in Thailand
Puttanapong, Nattapong; Martinez, Arturo M.; Addawe, Mildred - 2020
Poverty statistics are conventionally compiled using data from household income and expenditure survey or living … standards survey. This study examines an alternative approach in estimating poverty by investigating whether readily available … geospatial data can accurately predict the spatial distribution of poverty in Thailand. In particular, geospatial data examined …
Persistent link: https://www.econbiz.de/10012403931
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The forthcoming data ecosystem for business measurement and assurance
Cho, Soohyun; Vasarhelyi, Miklos A.; Zhang, Chanyuan - In: Journal of emerging technologies in Accounting 16 (2019) 2, pp. 1-21
Persistent link: https://www.econbiz.de/10012416666
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Indexing documents with reliable indexing techniques using Apache Lucene in Hadoop
Lydia, E. Laxmi; Satyanarayan, Sivakoti; Kumar, K. Vijaya; … - In: International journal of intelligent enterprise 7 (2020) 1/2/3, pp. 203-214
Persistent link: https://www.econbiz.de/10012177431
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Big Data for poverty measurement insights from a scoping review
Stubbers, Michae͏̈la; Holvoet, Nathalie - 2020
Persistent link: https://www.econbiz.de/10012405612
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Big data and machine learning in central banking
Dörr, Sebastian; Gambacorta, Leonardo; Serena, José María - 2021
Persistent link: https://www.econbiz.de/10012483906
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Machine learning methods in finance : recent applications and prospects
Hoang, Daniel; Wiegratz, Kevin - In: European financial management : the journal of the … 29 (2023) 5, pp. 1657-1701
Persistent link: https://www.econbiz.de/10014430234
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Big data, artificial intelligence and machine learning : a transformative symbiosis in favour of financial technology
Nguyen, Duc Khuong; Sermpinis, Georgios; Stasinakis, … - In: European financial management : the journal of the … 29 (2023) 2, pp. 517-548
Persistent link: https://www.econbiz.de/10014258837
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Artificial intelligence applied to supply chain operations management : a systematic literature review
Mendonça, Guilherme Dayrell; Lima, Orlando Fontes <Jr> - In: International journal of logistics systems and … 45 (2023) 1, pp. 1-30
Persistent link: https://www.econbiz.de/10014316909
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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