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Studying the methods of data transformation in the context of increasing the effectiveness of credit scoring models
Author(s) -
Yuriy Kleban
Publication year - 2019
Publication title -
nejro-nečìtkì tehnologìï modelûvannâ v ekonomìcì
Language(s) - English
Resource type - Journals
eISSN - 2415-3516
pISSN - 2306-3289
DOI - 10.33111/nfmte.2019.094
Subject(s) - transformation (genetics) , context (archaeology) , data transformation , computer science , data science , econometrics , data mining , mathematics , geography , chemistry , data warehouse , biochemistry , archaeology , gene

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