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Using Sample Selection to Improve Accuracy and Simplicity of Rules Extracted from Neural Networks for Credit Scoring Applications.
Rudy Setiono
Arnulfo P. Azcarraga
Yoichi Hayashi
Published in:
Int. J. Comput. Intell. Appl. (2015)
Keyphrases
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credit scoring
neural network
sample selection
pattern recognition
logistic regression
association rules
active learning
support vector machine svm
data mining
machine learning
fuzzy logic
information entropy