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Credit scoring using the clustered support vector machine
10 references·16 citing·29 second hop
Credit scoring using the clustered support vector machine (2014)Credit scoring using the clustered suppor…CREDIT SCORING, STATISTICAL TECHNIQUES AND EVALUATION CRITERIA: A REVIEW OF THE LITERATURE (2011)CREDIT SCORING, STATISTICAL T…Support vector machines for credit scoring and discovery of significant features (2008)Support vector machines for c…Recent developments in consumer credit risk assessment (2007)Recent developments in consum…Credit scoring with a data mining approach based on support vector machines (2006)Credit scoring with a data mi…Credit Risk Scorecards: Developing and Implementing Intelligent Credit Scoring (2005)Credit Risk Scorecards: Devel…Benchmarking state-of-the-art classification algorithms for credit scoring (2003)Benchmarking state-of-the-art…Statistical Classification Methods in Consumer Credit Scoring: A Review (1997)Statistical Classification Me…A comparison of neural networks and linear scoring models in the credit union environment (1996)A comparison of neural networ…FINANCIAL RATIOS, DISCRIMINANT ANALYSIS AND THE PREDICTION OF CORPORATE BANKRUPTCY (1968)FINANCIAL RATIOS, DISCRIMINAN…Applied Statistical Decision Theory (1962)Applied Statistical Decision …Credit scoring based on tree-enhanced gradient boosting decision trees (2021)Credit scoring based on tree-…A novel dynamic credit risk evaluation method using data envelopment analysis with common weights and combination of multi-attribute decision-making methods (2021)A novel dynamic credit risk e…Predicting bank insolvencies using machine learning techniques (2020)Predicting bank insolvencies …Machine learning techniques for credit risk evaluation: a systematic literature review (2020)Machine learning techniques f…A novel tree-based dynamic heterogeneous ensemble method for credit scoring (2020)A novel tree-based dynamic he…Forecasting stock market crisis events using deep and statistical machine learning techniques (2018)Forecasting stock market cris…Dynamic ensemble classification for credit scoring using soft probability (2018)Dynamic ensemble classificati…Digitalisation and Big Data Mining in Banking (2018)Digitalisation and Big Data M…A novel multi-stage hybrid model with enhanced multi-population niche genetic algorithm: An application in credit scoring (2018)A novel multi-stage hybrid mo…Financial innovation: Credit default hybrid model for SME lending (2016)Financial innovation: Credit …Ensemble classification based on supervised clustering for credit scoring (2016)Ensemble classification based…A new hybrid ensemble credit scoring model based on classifiers consensus system approach (2016)A new hybrid ensemble credit …A comparative study on base classifiers in ensemble methods for credit scoring (2016)A comparative study on base c…Enhancing accuracy and interpretability of ensemble strategies in credit risk assessment. A correlated-adjusted decision forest proposal (2015)Enhancing accuracy and interp…Selection of Support Vector Machines based classifiers for credit risk domain (2014)Selection of Support Vector M…Bankruptcy visualization and prediction using neural networks: A study of U.S. commercial banks (2014)Bankruptcy visualization and …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)Neural network credit scoring models (2000)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)A Stochastic Approximation Method (1951)Managerial Applications of Neural Networks: The Case of Bank Failure Predictions (1992)A comparative assessment of ensemble learning for credit scoring (2010)Machine learning for credit scoring: Improving logistic regression with non-linear decision-tree effects (2021)The Pricing of Options and Corporate Liabilities (1973)Machine Learning in Financial Crisis Prediction: A Survey (2011)A review of trade credit literature: Opportunities for research in operations (2013)Credit rating analysis with support vector machines and neural networks: a market comparative study (2003)Combination of feature selection approaches with SVM in credit scoring (2009)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 survey of artificial intelligence applications in finance: artificial neural networks, expert system and hybrid intelligent systems (2010)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)Consumer credit-risk models via machine-learning algorithms (2010)Comparison of Bayesian and regression approaches to the study of information processing in judgment (1971)A Conditionally Heteroskedastic Time Series Model for Speculative Prices and Rates of Return (1987)Bayesian Experimental Design: A Review (1995)Neural nets versus conventional techniques in credit scoring in Egyptian banking (2007)Using data mining to improve assessment of credit worthiness via credit scoring models (2011)A comparative analysis of data preparation algorithms for customer churn prediction: A case study in the telecommunication industry (2016)
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References

  • 1968FINANCIAL RATIOS, DISCRIMINANT ANALYSIS AND THE PREDICTION OF CORPORATE BANKRUPTCY14,869 cited
  • 1962Applied Statistical Decision Theory2,172 cited
  • 1997Statistical Classification Methods in Consumer Credit Scoring: A Review1,039 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
  • 1996A comparison of neural networks and linear scoring models in the credit union environment522 cited
  • 2007Recent developments in consumer credit risk assessment472 cited
  • 2011CREDIT SCORING, STATISTICAL TECHNIQUES AND EVALUATION CRITERIA: A REVIEW OF THE LITERATURE409 cited
  • 2005Credit Risk Scorecards: Developing and Implementing Intelligent Credit Scoring381 cited
  • 2008Support vector machines for credit scoring and discovery of significant features336 cited

Cited by

  • 2018Forecasting stock market crisis events using deep and statistical machine learning techniques303 cited
  • 2016A comparative study on base classifiers in ensemble methods for credit scoring248 cited
  • 2020Machine learning techniques for credit risk evaluation: a systematic literature review226 cited
  • 2014Bankruptcy visualization and prediction using neural networks: A study of U.S. commercial banks

Only edges whose both ends are imported exist here. Widen the year window, or show the whole map. Back to the work

201 cited
  • 2020Predicting bank insolvencies using machine learning techniques164 cited
  • 2016A new hybrid ensemble credit scoring model based on classifiers consensus system approach161 cited
  • 2016Ensemble classification based on supervised clustering for credit scoring160 cited
  • 2014Selection of Support Vector Machines based classifiers for credit risk domain142 cited
  • 2018A novel multi-stage hybrid model with enhanced multi-population niche genetic algorithm: An application in credit scoring139 cited
  • 2021Credit scoring based on tree-enhanced gradient boosting decision trees133 cited
  • 2018Digitalisation and Big Data Mining in Banking132 cited
  • 2018Dynamic ensemble classification for credit scoring using soft probability118 cited
  • 2015Enhancing accuracy and interpretability of ensemble strategies in credit risk assessment. A correlated-adjusted decision forest proposal109 cited
  • 2020A novel tree-based dynamic heterogeneous ensemble method for credit scoring109 cited
  • 2021A novel dynamic credit risk evaluation method using data envelopment analysis with common weights and combination of multi-attribute decision-making methods95 cited
  • 2016Financial innovation: Credit default hybrid model for SME lending79 cited