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Credit Risk Evaluation with Least Square Support Vector Machine
7 references·5 citing·43 second hop
Credit Risk Evaluation with Least Square Support Vector Machine (2006)Credit Risk Evaluation with Least Square …Credit Scoring and Its Applications (2017)Credit Scoring and Its Applic…A survey of the issues in consumer credit modelling research (2005)A survey of the issues in con…Credit scoring for risk managers : the handbook for lenders (2004)Credit scoring for risk manag…Evaluating consumer loans using neural networks (2003)Evaluating consumer loans usi…A support vector machine approach to credit scoring (2003)A support vector machine appr…Credit Scoring and Its Applications (2002)Credit Scoring and Its Applic…A Note on the Comparison of Logit and Discriminant Models of Consumer Credit Behavior (1980)A Note on the Comparison of L…Fire risk assessment with scoring system, using the support vector machine approach (2015)Fire risk assessment with sco…Credit Risk Evaluation Model Development Using Support Vector Based Classifiers (2011)Credit Risk Evaluation Model …Developing an SVM-based ensemble learning system for customer risk identification collaborating with customer relationship management (2010)Developing an SVM-based ensem…Credit risk evaluation with kernel-based affine subspace nearest points learning method (2010)Credit risk evaluation with k…Neural Network Metalearning for Credit Scoring (2006)Neural Network Metalearning f…FINANCIAL RATIOS, DISCRIMINANT ANALYSIS AND THE PREDICTION OF CORPORATE BANKRUPTCY (1968)Financial Ratios and the Probabilistic Prediction of Bankruptcy (1980)Benchmarking state-of-the-art classification algorithms for credit scoring (2003)Credit risk evaluation using a weighted least squares SVM classifier with design of experiment for parameter selection (2011)Credit risk evaluation using multi-criteria optimization classifier with kernel, fuzzification and penalty factors (2014)Big Data techniques to measure credit banking risk in home equity loans (2018)A survey of credit and behavioural scoring: forecasting financial risk of lending to consumers (2000)A Hybrid Credit Scoring Model Based on Genetic Programming and Support Vector Machines (2008)A survey of machine learning in credit risk (2021)The Evaluation of Creditworthiness of Trade and Enterprises of Service Using the Method Based on Fuzzy Logic (2022)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)Decision support systems and intelligent systems (1997)An integrated data mining and behavioral scoring model for analyzing bank customers (2004)Neural networks for credit risk evaluation: Investigation of different neural models and learning schemes (2010)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)Credit Granting: A Comparative Analysis of Classification Procedures (1987)Survival Analysis Methods for Personal Loan Data (2002)Support vector machine based multiagent ensemble learning for credit risk evaluation (2009)Assessing credit risk of commercial customers using hybrid machine learning algorithms (2022)Methodological Issues Related to the Estimation of Financial Distress Prediction Models (1984)Credit rating analysis with support vector machines and neural networks: a market comparative study (2003)Financial time series forecasting using support vector machines (2003)Credit risk evaluation modeling using evolutionary linear SVM classifiers and sliding window approach (2012)Modelling of Chinese corporate bond default – A machine learning approach (2021)Applications of Artificial Intelligence for Optimizing Banking and Financial Operations: A Systematic Literature Review and Future Research Agenda (2025)Applied Linear Statistical Models. (1975)Econometric Models and Economic Forecasts (1990)Mining the customer credit using classification and regression tree and multivariate adaptive regression splines (2004)A new fuzzy support vector machine to evaluate credit risk (2005)A two-stage hybrid credit scoring model using artificial neural networks and multivariate adaptive regression splines (2005)Credit scoring with a data mining approach based on support vector machines (2006)Support vector machines for credit scoring and discovery of significant features (2008)Knowledge Mapping for Fire Risk Assessment: A Scientometric Analysis Based on VOSviewer and CiteSpace (2024)Recent developments in consumer credit risk assessment (2007)A new hybrid classification algorithm for customer churn prediction based on logistic regression and decision trees (2018)Machine learning for credit scoring: Improving logistic regression with non-linear decision-tree effects (2021)An intelligent-agent-based fuzzy group decision making model for financial multicriteria decision support: The case of credit scoring (2007)Credit scoring with macroeconomic variables using survival analysis (2008)Forecasting and operational research: a review (2008)Consumer finance: challenges for operational research (2009)The Role of Soft Information in a Dynamic Contract Setting: Evidence from the Home Equity Credit Market (2011)A window of opportunity: Assessing behavioural scoring (2012)
this work references cited by second hop

References

  • 2002Credit Scoring and Its Applications669 cited
  • 1980A Note on the Comparison of Logit and Discriminant Models of Consumer Credit Behavior435 cited
  • 2017Credit Scoring and Its Applications306 cited
  • 2003Evaluating consumer loans using neural networks280 cited
  • 2005A survey of the issues in consumer credit modelling research140 cited
  • 2003A support vector machine approach to credit scoring103 cited
  • 2004Credit scoring for risk managers : the handbook for lenders72 cited

Cited by

  • 2011Credit Risk Evaluation Model Development Using Support Vector Based Classifiers51 cited
  • 2015Fire risk assessment with scoring system, using the support vector machine approach48 cited
  • 2006Neural Network Metalearning for Credit Scoring34 cited
  • 2010Credit risk evaluation with kernel-based affine subspace nearest points learning method29 cited
  • 2010Developing an SVM-based ensemble learning system for customer risk identification collaborating with customer relationship management14 cited

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