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Updating a credit-scoring model based on new attributes without realization of actual data
14 references·2 citing·53 second hop
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this work references cited by second hop

References

  • 1981Credit Rationing in Markets with Imperfect Information12,762 cited
  • 2000Neural network credit scoring models1,032 cited
  • 2009Support vector machines for default prediction of SMEs based on technology credit221 cited
  • 2009Subagging for credit scoring models213 cited
  • 2008Evaluation of credit guarantee policy using propensity score matching158 cited
  • 2007Effect of credit guarantee policy on survival and performance of SMEs in Republic of Korea143 cited
  • 2008Incorporating domain knowledge into data mining classifiers: An application in indirect lending141 cited
  • 2011Alternative supply chain production–sales policies for new product diffusion: An agent-based modeling and simulation approach106 cited
  • 1997Predicting Student Loan Defaults86 cited
  • 2007Determinants of banks selection in USA, Taiwan and Ghana84 cited
  • 2006Random effects logistic regression model for default prediction of technology credit guarantee fund54 cited
  • 2004Improved technology scoring model for credit guarantee fund47 cited
  • 2009Default Predictors and Credit Scoring Models for Retail Banking44 cited
  • 2009Technology credit scoring model considering both SME characteristics and economic conditions: The Korean case34 cited

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  • 2014Credit Analysis Using Data Mining: Application in the Case of a Credit Union21 cited
  • 2014Behavioral technology credit scoring model with time-dependent covariates for stress test17 cited