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Prediction of default payment of credit card clients using Data Mining Techniques
15 references·0 citing·41 second hop
Prediction of default payment of credit card clients using Data Mining Techniques (2019)Prediction of default payment of credit c…A new hybrid ensemble credit scoring model based on classifiers consensus system approach (2016)A new hybrid ensemble credit …A hybrid data mining model of feature selection algorithms and ensemble learning classifiers for credit scoring (2015)A hybrid data mining model of…The impact of wealth on financial mistakes: Evidence from credit card non-payment (2012)The impact of wealth on finan…An Overview of Personal Credit Scoring: Techniques and Future Work (2012)An Overview of Personal Credi…Hybrid and ensemble-based soft computing techniques in bankruptcy prediction: a survey (2009)Hybrid and ensemble-based sof…The comparisons of data mining techniques for the predictive accuracy of probability of default of credit card clients (2008)The comparisons of data minin…Feature selection in bankruptcy prediction (2008)Feature selection in bankrupt…Data mining and customer relationship marketing in the banking industry (2002)Data mining and customer rela…Credit scoring using the hybrid neural discriminant technique (2002)Credit scoring using the hybr…A survey of credit and behavioural scoring: forecasting financial risk of lending to consumers (2000)A survey of credit and behavi…Statistical Classification Methods in Consumer Credit Scoring: A Review (1997)Statistical Classification Me…Neural network for predicting the performance of credit card accounts (1996)Neural network for predicting…A comparison of neural networks and linear scoring models in the credit union environment (1996)A comparison of neural networ…Quantitative Methods in Credit Management: A Survey (1994)Quantitative Methods in Credi…A credit scoring model for personal loans (1989)A credit scoring model for pe…Financial Ratios As Predictors of Failure (1966)FINANCIAL RATIOS, DISCRIMINANT ANALYSIS AND THE PREDICTION OF CORPORATE BANKRUPTCY (1968)Managerial Applications of Neural Networks: The Case of Bank Failure Predictions (1992)A comparative survey of artificial intelligence applications in finance: artificial neural networks, expert system and hybrid intelligent systems (2010)Combining multiple feature selection methods for stock prediction: Union, intersection, and multi-intersection approaches (2010)25years at Knowledge-Based Systems: A bibliometric analysis (2015)The Pricing of Options and Corporate Liabilities (1973)Corporate distress diagnosis: Comparisons using linear discriminant analysis and neural networks (the Italian experience) (1994)Credit scoring with a data mining approach based on support vector machines (2006)Recent developments in consumer credit risk assessment (2007)A comparative assessment of ensemble learning for credit scoring (2010)Forecasting with artificial neural networks: (1998)Neural network credit scoring models (2000)Building credit scoring models using genetic programming (2005)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)A Decision-Theoretic Generalization of On-Line Learning and an Application to Boosting (1997)AdaBoost based bankruptcy forecasting of Korean construction companies (2014)Deep learning for financial applications : A survey (2020)Benchmarking state-of-the-art classification algorithms for credit scoring (2003)Machine Learning in Banking Risk Management: A Literature Review (2019)A Review on Fairness in Machine Learning (2022)Bias and Unfairness in Machine Learning Models: A Systematic Review on Datasets, Tools, Fairness Metrics, and Identification and Mitigation Methods (2023)Applied Statistical Decision Theory (1962)Credit Rationing in Markets with Imperfect Information (1981)Not if but When will Borrowers Default (1999)‘Lending by numbers’: credit scoring and the constitution of risk within American consumer credit (2006)An empirical study of classification algorithm evaluation for financial risk prediction (2010)Bankruptcy prediction in banks and firms via statistical and intelligent techniques – A review (2006)When can categorical variables be treated as continuous? A comparison of robust continuous and categorical SEM estimation methods under suboptimal conditions. (2012)Benchmarking state-of-the-art classification algorithms for credit scoring: An update of research (2015)DGHNL: A new deep genetic hierarchical network of learners for prediction of credit scoring (2019)A Comparative Performance Assessment of Ensemble Learning for Credit Scoring (2020)Using neural network ensembles for bankruptcy prediction and credit scoring (2007)An Empirical Comparison of Machine-Learning Methods on Bank Client Credit Assessments (2019)Artificial intelligence in customer-facing financial services: a systematic literature review and agenda for future research (2021)Utilization of artificial intelligence in the banking sector: a systematic literature review (2022)Consumer credit-risk models via machine-learning algorithms (2010)A boosted decision tree approach using Bayesian hyper-parameter optimization for credit scoring (2017)
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References

  • 1997Statistical Classification Methods in Consumer Credit Scoring: A Review1,039 cited
  • 2008The comparisons of data mining techniques for the predictive accuracy of probability of default of credit card clients881 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
  • 2002Credit scoring using the hybrid neural discriminant technique355 cited
  • 2008Feature selection in bankruptcy prediction246 cited
  • 1994Quantitative Methods in Credit Management: A Survey240 cited
  • 2015A hybrid data mining model of feature selection algorithms and ensemble learning classifiers for credit scoring178 cited
  • 2009Hybrid and ensemble-based soft computing techniques in bankruptcy prediction: a survey168 cited
  • 2016A new hybrid ensemble credit scoring model based on classifiers consensus system approach161 cited
  • 1989A credit scoring model for personal loans148 cited
  • 2012An Overview of Personal Credit Scoring: Techniques and Future Work66 cited
  • 2002Data mining and customer relationship marketing in the banking industry48 cited
  • 2012The impact of wealth on financial mistakes: Evidence from credit card non-payment42 cited

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  • 1996Neural network for predicting the performance of credit card accounts41 cited
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