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Author/Affiliation: Rommel Novaes CarvalhoOpen AccessArticle
11 Pages, 517 KB 
Use of machine learning techniques in the prediction of credit recovery
Abstract:
This paper is an extended version of the paper originally presented at the International Conference on Machine Learning and Applications (ICMLA 2016), which proposes the construction of classifiers, based on the application of machine learning techniques, to identify defaulting clients with credit recovery potential. The study was carried out in 3 segments of a Bank’s…
Read More(This article belongs to the SP3 (Special issue on Recent Advances in Engineering Systems 2017) & Section Interdisciplinary Applications of Computer Science (CSI))