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Data Mining in Credit Scoring and Future Application
15 references·0 citing·43 second hop
Data Mining in Credit Scoring and Future Application (2023)Data Mining in Credit Scoring and Future …Credit scoring in banks and financial institutions via data mining techniques: A literature review (2013)Credit scoring in banks and f…Comparison of Credit Scoring Models on Probability of Default Estimation for Us Banks (2013)Comparison of Credit Scoring …Design and Development of Credit Scoring Model for the Commercial banks of Pakistan: Forecasting Creditworthiness of Individual Borrowers (2012)Design and Development of Cre…Credit risk Evaluation by hybrid data mining technique (2012)Credit risk Evaluation by hyb…Comparison Of The Performance Of Several Data Mining Methods For Bad Debt Recovery In The Healthcare Industry (2011)Comparison Of The Performance…The comparisons of data mining techniques for the predictive accuracy of probability of default of credit card clients (2008)The comparisons of data minin…Incorporating domain knowledge into data mining classifiers: An application in indirect lending (2008)Incorporating domain knowledg…Credit scoring with a data mining approach based on support vector machines (2006)Credit scoring with a data mi…A Two-step Method to Construct Credit Scoring Models with Data Mining Techniques (2006)A Two-step Method to Construc…Economic benefit of powerful credit scoring (2005)Economic benefit of powerful …Mining the customer credit using classification and regression tree and multivariate adaptive regression splines (2004)Mining the customer credit us…Credit scoring and rejected instances reassigning through evolutionary computation techniques (2003)Credit scoring and rejected i…A survey of credit and behavioural scoring: forecasting financial risk of lending to consumers (2000)A survey of credit and behavi…FINANCIAL RATIOS, DISCRIMINANT ANALYSIS AND THE PREDICTION OF CORPORATE BANKRUPTCY (1968)FINANCIAL RATIOS, DISCRIMINAN…Risk Elements in Consumer Instalment Financing (1942)Risk Elements in Consumer Ins…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)Neural Networks: A New Tool for Predicting Thrift Failures* (1992)Neural network credit scoring models (2000)Hybrid mining approach in the design of credit scoring models (2005)An intelligent-agent-based fuzzy group decision making model for financial multicriteria decision support: The case of credit scoring (2007)Credit rating by hybrid machine learning techniques (2009)Dynamics of Modeling in Data Mining: Interpretive Approach to Bankruptcy Prediction (1999)Credit rating analysis with support vector machines and neural networks: a market comparative study (2003)Neural network techniques for financial performance prediction: integrating fundamental and technical analysis (2003)CRM strategies for a small-sized online shopping mall based on association rules and sequential patterns (2012)Evaluation and aggregation of pay-as-you-drive insurance rate factors: A classification analysis approach (2013)Dynamics of firm financial evolution and bankruptcy prediction (2017)Statistical Classification Methods in Consumer Credit Scoring: A Review (1997)Benchmarking state-of-the-art classification algorithms for credit scoring (2003)Machine Learning in Financial Crisis Prediction: A Survey (2011)Machine Learning in Banking Risk Management: A Literature Review (2019)A Review on Fairness in Machine Learning (2022)What's the point of credit scoring? (1997)Mastering Data Mining: The Art and Science of Customer Relationship Management (2000)Dynamic Credit Risk Evaluation Method for E-Commerce Sellers Based on a Hybrid Artificial Intelligence Model (2019)Machine learning models for credit analysis improvements: Predicting low-income families’ default (2019)Artificial neural network and Bayesian network models for credit risk prediction (2020)The relationship between default prediction and lending profits: Integrating ROC analysis and loan pricing (2004)A literature review on the application of evolutionary computing to credit scoring (2012)The financing of innovative SMEs: A multicriteria credit rating model (2015)A novel tree-based dynamic heterogeneous ensemble method for credit scoring (2020)A Discriminant Analysis of Predictors of Business Failure (1972)Forecasting with artificial neural networks: (1998)Computer assisted customer churn management: State-of-the-art and future trends (2005)An experimental comparison of ensemble of classifiers for bankruptcy prediction and credit scoring (2008)Classifier selection and clustering with fuzzy assignment in ensemble model for credit scoring (2018)Credit Scoring: A Review on Support Vector Machines and Metaheuristic Approaches (2019)The impact of machine learning on UK financial services (2021)A comparative survey of artificial intelligence applications in finance: artificial neural networks, expert system and hybrid intelligent systems (2010)A boosted decision tree approach using Bayesian hyper-parameter optimization for credit scoring (2017)Machine behaviour (2019)Financial Ratios and the Probabilistic Prediction of Bankruptcy (1980)Managerial incentives and risk-taking☆ (2005)How does financial reporting quality relate to investment efficiency? (2009)
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References

  • 1968FINANCIAL RATIOS, DISCRIMINANT ANALYSIS AND THE PREDICTION OF CORPORATE BANKRUPTCY14,869 cited
  • 2008The comparisons of data mining techniques for the predictive accuracy of probability of default of credit card clients881 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
  • 2004Mining the customer credit using classification and regression tree and multivariate adaptive regression splines378 cited
  • 2003Credit scoring and rejected instances reassigning through evolutionary computation techniques226 cited
  • 2008Incorporating domain knowledge into data mining classifiers: An application in indirect lending141 cited
  • 2005Economic benefit of powerful credit scoring135 cited
  • 1942Risk Elements in Consumer Instalment Financing88 cited
  • 2006A Two-step Method to Construct Credit Scoring Models with Data Mining Techniques65 cited
  • 2012Credit risk Evaluation by hybrid data mining technique46 cited
  • 2011Comparison Of The Performance Of Several Data Mining Methods For Bad Debt Recovery In The Healthcare Industry43 cited
  • 2013Credit scoring in banks and financial institutions via data mining techniques: A literature review42 cited
  • 2013Comparison of Credit Scoring Models on Probability of Default Estimation for Us Banks

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40 cited
  • 2012Design and Development of Credit Scoring Model for the Commercial banks of Pakistan: Forecasting Creditworthiness of Individual Borrowers28 cited
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