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Growth potential of machine learning in credit risk predicting of farmers in the industry 4.0 era

Nana Chai Orcid Logo, Mohammad Abedin Orcid Logo, Xiaoling Wang Orcid Logo, Baofeng Shi Orcid Logo

International Journal of Finance & Economics

Swansea University Author: Mohammad Abedin Orcid Logo

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DOI (Published version): 10.1002/ijfe.3010

Published in: International Journal of Finance & Economics
ISSN: 1076-9307 1099-1158
Published: Wiley 2024
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URI: https://cronfa.swan.ac.uk/Record/cronfa66567
Keywords: credit risk; farmer; feature mining; industry 4.0; machine learning
College: Faculty of Humanities and Social Sciences
Funders: The Major Program of the National Social Science Fund of China. Grant Number: 23&ZD175 National Natural Science Foundation of China. Grant Numbers: 71873103, 72173096