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Credit scoring using data mining techniques with particular reference to Sudanese banks
16 references·1 citing·35 second hop
Credit scoring using data mining techniques with particular reference to Sudanese banks (2013)Credit scoring using data mining techniqu…Hybrid system with genetic algorithm and artificial neural networks and its application to retail credit risk assessment (2012)Hybrid system with genetic al…Credit scoring models for the microfinance industry using neural networks: Evidence from Peru (2012)Credit scoring models for the…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)An empirical comparison of co…Using data mining to improve assessment of credit worthiness via credit scoring models (2011)Using data mining to improve …CREDIT SCORING, STATISTICAL TECHNIQUES AND EVALUATION CRITERIA: A REVIEW OF THE LITERATURE (2011)CREDIT SCORING, STATISTICAL T…Neural networks for credit risk evaluation: Investigation of different neural models and learning schemes (2010)Neural networks for credit ri…A comparative assessment of ensemble learning for credit scoring (2010)A comparative assessment of e…Multiple classifier application to credit risk assessment (2009)Multiple classifier applicati…The comparisons of data mining techniques for the predictive accuracy of probability of default of credit card clients (2008)The comparisons of data minin…Support vector machines for credit scoring and discovery of significant features (2008)Support vector machines for c…Neural nets versus conventional techniques in credit scoring in Egyptian banking (2007)Neural nets versus convention…Building credit scoring models using genetic programming (2005)Building credit scoring model…Mining the customer credit using classification and regression tree and multivariate adaptive regression splines (2004)Mining the customer credit us…Benchmarking state-of-the-art classification algorithms for credit scoring (2003)Benchmarking state-of-the-art…A credit scoring approach for the commercial banking sector (2003)A credit scoring approach for…Neural network credit scoring models (2000)Neural network credit scoring…Using data mining approaches to build credit scoring model: Case study — Implementation of credit scoring model in microfinance institution (2018)Using data mining approaches …Applied Statistical Decision Theory (1962)FINANCIAL RATIOS, DISCRIMINANT ANALYSIS AND THE PREDICTION OF CORPORATE BANKRUPTCY (1968)Econometric Models and Economic Forecasts (1990)Business intelligence in banking: A literature analysis from 2002 to 2013 using text mining and latent Dirichlet allocation (2014)Determinants of Default in P2P Lending (2015)Statistical and machine learning models in credit scoring: A systematic literature survey (2020)Credit rating analysis with support vector machines and neural networks: a market comparative study (2003)Forecasting stock market movement direction with support vector machine (2004)Bankruptcy visualization and prediction using neural networks: A study of U.S. commercial banks (2014)Investigation and improvement of multi-layer perceptron neural networks for credit scoring (2014)Fuzzy sets (1965)Fuzzy sets (1996)Application of new deep genetic cascade ensemble of SVM classifiers to predict the Australian credit scoring (2019)Deep learning for credit scoring: Do or don’t? 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References

  • 2000Neural network credit scoring models1,032 cited
  • 2003Benchmarking state-of-the-art classification algorithms for credit scoring903 cited
  • 2008The comparisons of data mining techniques for the predictive accuracy of probability of default of credit card clients881 cited
  • 2010A comparative assessment of ensemble learning for credit scoring501 cited
  • 2011CREDIT SCORING, STATISTICAL TECHNIQUES AND EVALUATION CRITERIA: A REVIEW OF THE LITERATURE409 cited
  • 2004Mining the customer credit using classification and regression tree and multivariate adaptive regression splines378 cited
  • 2005Building credit scoring models using genetic programming356 cited
  • 2008Support vector machines for credit scoring and discovery of significant features336 cited
  • 2012An 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 data241 cited
  • 2010Neural networks for credit risk evaluation: Investigation of different neural models and learning schemes236 cited
  • 2011Using data mining to improve assessment of credit worthiness via credit scoring models210 cited
  • 2012Credit scoring models for the microfinance industry using neural networks: Evidence from Peru210 cited
  • 2012Hybrid system with genetic algorithm and artificial neural networks and its application to retail credit risk assessment

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198 cited
  • 2007Neural nets versus conventional techniques in credit scoring in Egyptian banking168 cited
  • 2009Multiple classifier application to credit risk assessment166 cited
  • 2003A credit scoring approach for the commercial banking sector153 cited
  • Cited by

    • 2018Using data mining approaches to build credit scoring model: Case study — Implementation of credit scoring model in microfinance institution16 cited