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Comparison of the Hybrid Credit Scoring Models Based on Various Classifiers
12 references·1 citing·27 second hop
Comparison of the Hybrid Credit Scoring Models Based on Various Classifiers (2010)Comparison of the Hybrid Credit Scoring M…Support vector machines for credit scoring and discovery of significant features (2008)Support vector machines for c…Mining the customer credit using hybrid support vector machine technique (2008)Mining the customer credit us…Credit scoring with a data mining approach based on support vector machines (2006)Credit scoring with a data mi…Support vector machines for classifying and describing credit applicants: detecting typical and critical regions (2005)Support vector machines for c…Building credit scoring models using genetic programming (2005)Building credit scoring model…A two-stage hybrid credit scoring model using artificial neural networks and multivariate adaptive regression splines (2005)A two-stage hybrid credit sco…Benchmarking state-of-the-art classification algorithms for credit scoring (2003)Benchmarking state-of-the-art…Credit scoring using the hybrid neural discriminant technique (2002)Credit scoring using the hybr…Neural network credit scoring models (2000)Neural network credit scoring…A survey of credit and behavioural scoring: forecasting financial risk of lending to consumers (2000)A survey of credit and behavi…Construction of a k-nearest-neighbour credit-scoring system (1997)Construction of a k-nearest-n…A comparison of neural networks and linear scoring models in the credit union environment (1996)A comparison of neural networ…A Technical Analysis Information Fusion Approach for Stock Price Analysis and Modeling (2018)A Technical Analysis Informat…The Pricing of Options and Corporate Liabilities (1973)Managerial Applications of Neural Networks: The Case of Bank Failure Predictions (1992)Corporate distress diagnosis: Comparisons using linear discriminant analysis and neural networks (the Italian experience) (1994)Recent developments in consumer credit risk assessment (2007)A comparative assessment of ensemble learning for credit scoring (2010)FINANCIAL RATIOS, DISCRIMINANT ANALYSIS AND THE PREDICTION OF CORPORATE BANKRUPTCY (1968)A Discriminant Analysis of Predictors of Business Failure (1972)Forecasting with artificial neural networks: (1998)A comparative survey of artificial intelligence applications in finance: artificial neural networks, expert system and hybrid intelligent systems (2010)An empirical comparison of conventional techniques, neural networks and the three stage hybrid Adaptive Neuro Fuzzy Inference System (ANFIS) model for credit scoring analysis: The case of Turkish credit card data (2012)A comparative study on base classifiers in ensemble methods for credit scoring (2016)Statistical Classification Methods in Consumer Credit Scoring: A Review (1997)Machine Learning in Financial Crisis Prediction: A Survey (2011)A Stochastic Approximation Method (1951)CREDIT SCORING, STATISTICAL TECHNIQUES AND EVALUATION CRITERIA: A REVIEW OF THE LITERATURE (2011)Machine learning for credit scoring: Improving logistic regression with non-linear decision-tree effects (2021)Credit rating analysis with support vector machines and neural networks: a market comparative study (2003)Credit scoring using the clustered support vector machine (2014)Business failure prediction using rough sets (1999)Forecasting energy consumption using a grey model improved by incorporating genetic programming (2010)The comparisons of data mining techniques for the predictive accuracy of probability of default of credit card clients (2008)A boosted decision tree approach using Bayesian hyper-parameter optimization for credit scoring (2017)Sales forecasting for computer wholesalers: A comparison of multivariate adaptive regression splines and artificial neural networks (2012)Sales forecasting of computer products based on variable selection scheme and support vector regression (2013)Dynamic ensemble classification for credit scoring using soft probability (2018)Bankruptcy prediction using support vector machine with optimal choice of kernel function parameters (2005)Machine behaviour (2019)
this work references cited by second hop

References

  • 2000Neural network credit scoring models1,032 cited
  • 2003Benchmarking state-of-the-art classification algorithms for credit scoring903 cited
  • 2006Credit scoring with a data mining approach based on support vector machines805 cited
  • 2000A survey of credit and behavioural scoring: forecasting financial risk of lending to consumers744 cited
  • 1996A comparison of neural networks and linear scoring models in the credit union environment522 cited
  • 2005A two-stage hybrid credit scoring model using artificial neural networks and multivariate adaptive regression splines389 cited
  • 2005Building credit scoring models using genetic programming356 cited
  • 2002Credit scoring using the hybrid neural discriminant technique355 cited
  • 2008Support vector machines for credit scoring and discovery of significant features336 cited
  • 2008Mining the customer credit using hybrid support vector machine technique122 cited
  • 2005Support vector machines for classifying and describing credit applicants: detecting typical and critical regions111 cited
  • 1997Construction of a k-nearest-neighbour credit-scoring system96 cited

Cited by

  • 2018A Technical Analysis Information Fusion Approach for Stock Price Analysis and Modeling32 cited

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