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Statistical and Data Mining Methods in Credit Scoring
The Journal of Developing Areas Volume 50, Number 5, 2016, pp. 371-381
The major goal of this paper is to provide a complete literature survey on applied data mining methods, such as discriminant analysis, logistic regression, K-nearest neighbor, Bayesian classifier, decision tree, neural network, survival analysis, fuzzy rule-based system, support vector machine, and hybrid methods.