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A literature review on the application of evolutionary computing to credit scoring
16 references·16 citing·27 second hopsampled
A literature review on the application of evolutionary computing to credit scoring (2012)A literature review on the application of…Credit Scoring and Its Applications (2017)Credit Scoring and Its Applic…CREDIT SCORING, STATISTICAL TECHNIQUES AND EVALUATION CRITERIA: A REVIEW OF THE LITERATURE (2011)CREDIT SCORING, STATISTICAL T…A comparative survey of artificial intelligence applications in finance: artificial neural networks, expert system and hybrid intelligent systems (2010)A comparative survey of artif…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…Building credit scoring models using genetic programming (2005)Building credit scoring model…Exploratory Data Mining and Data Cleaning (2003)Exploratory Data Mining and D…Benchmarking state-of-the-art classification algorithms for credit scoring (2003)Benchmarking state-of-the-art…Credit Scoring and Its Applications (2002)Credit Scoring and Its Applic…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…Data preparation for data mining (1999)Data preparation for data min…Statistical Classification Methods in Consumer Credit Scoring: A Review (1997)Statistical Classification Me…A survey of business failures with an emphasis on prediction methods and industrial applications (1996)A survey of business failures…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…Explainability in supply chain operational risk management: A systematic literature review (2021)Explainability in supply chai…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…Rule-based credit risk assessment model using multi-objective evolutionary algorithms (2019)Rule-based credit risk assess…Development of prediction models for repair and maintenance-related accidents at oil refineries using artificial neural network, fuzzy system, genetic algorithm, and ant colony optimization algorithm (2019)Development of prediction mod…Computational approaches and data analytics in financial services: A literature review (2019)Computational approaches and …Dynamic weighted ensemble classification for credit scoring using Markov Chain (2018)Dynamic weighted ensemble cla…Credit scoring for a microcredit data set using the synthetic minority oversampling technique and ensemble classifiers (2018)Credit scoring for a microcre…Classifier selection and clustering with fuzzy assignment in ensemble model for credit scoring (2018)Classifier selection and clus…An artificial intelligence system for predicting customer default in e-commerce (2018)An artificial intelligence sy…A review of credit scoring research in the age of Big Data (2018)A review of credit scoring re…A multiple criteria credit rating approach utilizing social media data (2018)A multiple criteria credit ra…Probabilistic modeling and visualization for bankruptcy prediction (2017)Probabilistic modeling and vi…Determinants of Financial Sustainability for Farm Credit Applications—A Delphi Study (2016)Determinants of Financial Sus…A new dynamic modeling framework for credit risk assessment (2015)A new dynamic modeling framew…Genetic algorithms for credit scoring: Alternative fitness function performance comparison (2014)Genetic algorithms for credit…Credit rating with a monotonicity-constrained support vector machine model (2014)Credit rating with a monotoni…Design of Experiments (1936)An overview of data warehousing and OLAP technology (1997)Data Cleaning: Problems and Current Approaches. (2000)Record linkage (2006)Overview and Framework for Data and Information Quality Research (2009)Data quality in internet of things: A state-of-the-art survey (2016)The Pricing of Options and Corporate Liabilities (1973)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)A comparative assessment of ensemble learning for credit scoring (2010)Financial Ratios As Predictors of Failure (1966)Financial Ratios and the Probabilistic Prediction of Bankruptcy (1980)Business failure prediction using rough sets (1999)Assessing bank efficiency and performance with operational research and artificial intelligence techniques: A survey (2009)ELECTRE: A comprehensive literature review on methodologies and applications (2015)Credit rating analysis with support vector machines and neural networks: a market comparative study (2003)Machine behaviour (2019)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)Data mining to improve personnel selection and enhance human capital: A case study in high-technology industry (2006)Similarity encoding for learning with dirty categorical variables (2018)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)Bankruptcy prediction using support vector machine with optimal choice of kernel function parameters (2005)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)
this work references cited by second hop· second hop is a sample of the most-cited connections

References

  • 1968FINANCIAL RATIOS, DISCRIMINANT ANALYSIS AND THE PREDICTION OF CORPORATE BANKRUPTCY14,869 cited
  • 1999Data preparation for data mining1,363 cited
  • 1997Statistical Classification Methods in Consumer Credit Scoring: A Review1,039 cited
  • 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
  • 2002Credit Scoring and Its Applications669 cited
  • 2003Exploratory Data Mining and Data Cleaning622 cited
  • 1996A survey of business failures with an emphasis on prediction methods and industrial applications591 cited
  • 2010A comparative survey of artificial intelligence applications in finance: artificial neural networks, expert system and hybrid intelligent systems552 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

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2005
Building credit scoring models using genetic programming
356 cited
  • 2017Credit Scoring and Its Applications306 cited
  • Cited by

    • 2018An artificial intelligence system for predicting customer default in e-commerce95 cited
    • 2021A novel dynamic credit risk evaluation method using data envelopment analysis with common weights and combination of multi-attribute decision-making methods95 cited
    • 2017Probabilistic modeling and visualization for bankruptcy prediction90 cited
    • 2014Credit rating with a monotonicity-constrained support vector machine model89 cited
    • 2021Explainability in supply chain operational risk management: A systematic literature review84 cited
    • 2015A new dynamic modeling framework for credit risk assessment82 cited
    • 2018A review of credit scoring research in the age of Big Data81 cited
    • 2019Rule-based credit risk assessment model using multi-objective evolutionary algorithms77 cited
    • 2019Computational approaches and data analytics in financial services: A literature review67 cited
    • 2014Genetic algorithms for credit scoring: Alternative fitness function performance comparison65 cited
    • 2018Classifier selection and clustering with fuzzy assignment in ensemble model for credit scoring55 cited
    • 2019Development of prediction models for repair and maintenance-related accidents at oil refineries using artificial neural network, fuzzy system, genetic algorithm, and ant colony optimization algorithm51 cited
    • 2016Determinants of Financial Sustainability for Farm Credit Applications—A Delphi Study49 cited
    • 2018Credit scoring for a microcredit data set using the synthetic minority oversampling technique and ensemble classifiers49 cited
    • 2018Dynamic weighted ensemble classification for credit scoring using Markov Chain47 cited
    • 2018A multiple criteria credit rating approach utilizing social media data45 cited