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Prediction model building with clustering-launched classification and support vector machines in credit scoring
10 references·16 citing·36 second hop
Prediction model building with clustering-launched classification and support vector machines in credit scoring (2008)Prediction model building with clustering…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…Benchmarking state-of-the-art classification algorithms for credit scoring (2003)Benchmarking state-of-the-art…Differentiating between good credits and bad credits using neuro-fuzzy systems (2002)Differentiating between good …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…A comparison of neural networks and linear scoring models in the credit union environment (1996)A comparison of neural networ…Multivariate Normality and Forecasting of Business Bankruptcy (1987)Multivariate Normality and Fo…An Examination of the Conceptual Issues Involved in Developing Credit-Scoring Models (1983)An Examination of the Concept…Credit Score Prediction using Genetic Algorithm-LSTM Technique (2022)Credit Score Prediction using…Hybridized artificial neural network classifiers with a novel feature selection procedure based genetic algorithms and information complexity in credit scoring (2021)Hybridized artificial neural …A multi-level classification and modified PSO clustering based ensemble approach for credit scoring (2021)A multi-level classification …A Hybrid Machine Learning Model for Credit Approval (2021)A Hybrid Machine Learning Mod…The Impacts of Machine Learning in Financial Crisis Prediction (2020)The Impacts of Machine Learni…Credit concession through credit scoring: Analysis and application proposal (2017)Credit concession through cre…Classification methods applied to credit scoring: Systematic review and overall comparison (2016)Classification methods applie…A Soft Intelligent Risk Evaluation Model for Credit Scoring Classification (2015)A Soft Intelligent Risk Evalu…Combining data mining and group decision making in retailer segmentation based on LRFMP variables (2014)Combining data mining and gro…Business Bankruptcy Prediction Based on Survival Analysis Approach (2014)Business Bankruptcy Predictio…A decision rule-based soft computing model for supporting financial performance improvement of the banking industry (2014)A decision rule-based soft co…Credit scoring in banks and financial institutions via data mining techniques: A literature review (2013)Credit scoring in banks and f…An application of locally linear model tree algorithm with combination of feature selection in credit scoring (2013)An application of locally lin…A bi‐level neural‐based fuzzy classification approach for credit scoring problems (2013)A bi‐level neural‐based fuzzy…An Overview of Personal Credit Scoring: Techniques and Future Work (2012)An Overview of Personal Credi…ARTIFICIAL METAPLASTICITY NEURAL NETWORK APPLIED TO CREDIT SCORING (2011)ARTIFICIAL METAPLASTICITY NEU…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)Artificial neural networks in bankruptcy prediction: General framework and cross-validation analysis (1999)Credit scoring and rejected instances reassigning through evolutionary computation techniques (2003)Feature selection in bankruptcy prediction (2008)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)The Pricing of Options and Corporate Liabilities (1973)Recent developments in consumer credit risk assessment (2007)A comparative assessment of ensemble learning for credit scoring (2010)Statistical Classification Methods in Consumer Credit Scoring: A Review (1997)Forecasting with artificial neural networks: (1998)Building credit scoring models using genetic programming (2005)A comparative survey of artificial intelligence applications in finance: artificial neural networks, expert system and hybrid intelligent systems (2010)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)Financial Ratios As Predictors of Failure (1966)FINANCIAL RATIOS, DISCRIMINANT ANALYSIS AND THE PREDICTION OF CORPORATE BANKRUPTCY (1968)Qualitative Response Models: A Survey (1994)Hybrid neural network models for bankruptcy predictions (1996)Portfolio selection and skewness: Evidence from international stock markets (1997)The value of non-financial information in SME risk management (2010)Foundations of Finance: Portfolio Decisions and Securities Prices (1978)A Note on the Comparison of Logit and Discriminant Models of Consumer Credit Behavior (1980)A practical approach to credit scoring (2007)Mining the customer credit using hybrid support vector machine technique (2008)Computational time reduction for credit scoring: An integrated approach based on support vector machine and stratified sampling method (2012)Credit rating analysis with support vector machines and neural networks: a market comparative study (2003)Machine behaviour (2019)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)Adaptive credit scoring with kernel learning methods (2007)Credit risk evaluation using a weighted least squares SVM classifier with design of experiment for parameter selection (2011)Applying a nonparametric random forest algorithm to assess the credit risk of the energy industry in China (2018)Bankruptcy prediction using support vector machine with optimal choice of kernel function parameters (2005)
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
  • 2002Credit scoring using the hybrid neural discriminant technique355 cited
  • 1987Multivariate Normality and Forecasting of Business Bankruptcy354 cited
  • 2002Differentiating between good credits and bad credits using neuro-fuzzy systems252 cited
  • 1983An Examination of the Conceptual Issues Involved in Developing Credit-Scoring Models137 cited
  • 2005Support vector machines for classifying and describing credit applicants: detecting typical and critical regions111 cited

Cited by

  • 2016Classification methods applied to credit scoring: Systematic review and overall comparison68 cited
  • 2012An Overview of Personal Credit Scoring: Techniques and Future Work66 cited
  • 2014A decision rule-based soft computing model for supporting financial performance improvement of the banking industry59 cited
  • 2011ARTIFICIAL METAPLASTICITY NEURAL NETWORK APPLIED TO CREDIT SCORING

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52 cited
  • 2013Credit scoring in banks and financial institutions via data mining techniques: A literature review42 cited
  • 2014Business Bankruptcy Prediction Based on Survival Analysis Approach37 cited
  • 2021A multi-level classification and modified PSO clustering based ensemble approach for credit scoring26 cited
  • 2013A bi‐level neural‐based fuzzy classification approach for credit scoring problems26 cited
  • 2017Credit concession through credit scoring: Analysis and application proposal24 cited
  • 2020The Impacts of Machine Learning in Financial Crisis Prediction22 cited
  • 2021A Hybrid Machine Learning Model for Credit Approval20 cited
  • 2014Combining data mining and group decision making in retailer segmentation based on LRFMP variables18 cited
  • 2013An application of locally linear model tree algorithm with combination of feature selection in credit scoring17 cited
  • 2022Credit Score Prediction using Genetic Algorithm-LSTM Technique16 cited
  • 2015A Soft Intelligent Risk Evaluation Model for Credit Scoring Classification15 cited
  • 2021Hybridized artificial neural network classifiers with a novel feature selection procedure based genetic algorithms and information complexity in credit scoring15 cited