Оцінювання кредитних ризиків методами інтелектуального анализу даних
In this research, credit risks are analyzed for financial organizations using data mining techniques applied to actual data. The two sets of actual statistical data characterizing the borrowers are employed for constructing mathematical models in the form of the nonlinear logit regression, decision...
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| Datum: | 2017 |
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| Hauptverfasser: | , , |
| Format: | Artikel |
| Sprache: | Ukrainian |
| Veröffentlicht: |
The National Technical University of Ukraine "Igor Sikorsky Kyiv Polytechnic Institute"
2017
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| Schlagworte: | |
| Online Zugang: | http://journal.iasa.kpi.ua/article/view/101737 |
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| Назва журналу: | System research and information technologies |