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pro vyhledávání: '"Azhi Abdalmohammed Faraj"'
Publikováno v:
UHD Journal of Science and Technology, Vol 5, Iss 2, Pp 20-25 (2021)
Credit card defaults pause a business-critical threat in banking systems thus prompt detection of defaulters is a crucial and challenging research problem. Machine learning algorithms must deal with a heavily skewed dataset since the ratio of default
Externí odkaz:
https://doaj.org/article/d65bd949be804003bc50ad2d999d3473
Publikováno v:
UHD Journal of Science and Technology, Vol 5, Iss 2, Pp 20-25 (2021)
Credit card defaults pause a business-critical threat in banking systems thus prompt detection of defaulters is a crucial and challenging research problem. Machine learning algorithms must deal with a heavily skewed dataset since the ratio of default
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::966a301c9a1ab762cf87894ce01d9945
https://journals.uhd.edu.iq/index.php/uhdjst/article/view/806
https://journals.uhd.edu.iq/index.php/uhdjst/article/view/806
Autor:
Faraj, Azhi Abdalmohammed1,2 azhi.faraj@univsul.edu.iq, Mahmud, Didam Ahmed1, Rashid, Bilal Najmaddin1
Publikováno v:
UHD Journal of Science & Technology. Jul2021, Vol. 5 Issue 2, p20-25. 6p.