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Credit scoring by feature-weighted support vector machines
5 references·1 citing·24 second hop
Credit scoring by feature-weighted support vector machines (2013)Credit scoring by feature-weighted suppor…Support vector machines for credit scoring and discovery of significant features (2008)Support vector machines for c…Random Forests for multiclass classification: Random MultiNomial Logit (2007)Random Forests for multiclass…Credit scoring with a data mining approach based on support vector machines (2006)Credit scoring with a data mi…A survey of the issues in consumer credit modelling research (2005)A survey of the issues in con…Benchmarking state-of-the-art classification algorithms for credit scoring (2003)Benchmarking state-of-the-art…Feature selection based on machine learning for credit scoring : An evaluation of filter and embedded methods (2021)Feature selection based on ma…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)Discrete Choice Analysis: Theory and Application to Travel Demand. (1987)Discrete choice analysis: Theory and application to travel demand (1988)Deriving Categories to Achieve Goals (1991)Mass appraisal of residential apartments: An application of Random forest for valuation and a CART-based approach for model diagnostics (2011)Online big data-driven oil consumption forecasting with Google trends (2018)A comparative study of automated legal text classification using random forests and deep learning (2021)Credit Granting: A Comparative Analysis of Classification Procedures (1987)Credit Scoring and Its Applications (2002)Survival Analysis Methods for Personal Loan Data (2002)An intelligent-agent-based fuzzy group decision making model for financial multicriteria decision support: The case of credit scoring (2007)Support vector machine based multiagent ensemble learning for credit risk evaluation (2009)Assessing credit risk of commercial customers using hybrid machine learning algorithms (2022)Credit rating analysis with support vector machines and neural networks: a market comparative study (2003)Machine Learning in Financial Crisis Prediction: A Survey (2011)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 scoring using the clustered support vector machine (2014)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)Machine behaviour (2019)A multi-objective approach for profit-driven feature selection in credit scoring (2019)A study on credit scoring modeling with different feature selection and machine learning approaches (2020)
this work references cited by second hop

References

  • 2003Benchmarking state-of-the-art classification algorithms for credit scoring903 cited
  • 2006Credit scoring with a data mining approach based on support vector machines805 cited
  • 2008Support vector machines for credit scoring and discovery of significant features336 cited
  • 2007Random Forests for multiclass classification: Random MultiNomial Logit193 cited
  • 2005A survey of the issues in consumer credit modelling research140 cited

Cited by

  • 2021Feature selection based on machine learning for credit scoring : An evaluation of filter and embedded methods20 cited

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