Login / Signup

Using Sample Selection to Improve Accuracy and Simplicity of Rules Extracted from Neural Networks for Credit Scoring Applications.

Rudy SetionoArnulfo P. AzcarragaYoichi Hayashi
Published in: Int. J. Comput. Intell. Appl. (2015)
Keyphrases
  • 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