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Identification of failing banks using Clustering with self-organising neural networks
8 references·1 citing·40 second hop
Identification of failing banks using Clustering with self-organising neural networks (2017)Identification of failing banks using Clu…Prediction of bank failures in emerging financial markets: an ANN approach (2007)Prediction of bank failures i…Data Mining Techniques: For Marketing, Sales, and Customer Relationship Management (2004)Data Mining Techniques: For M…Financial Crises and What to Do About Them (2002)Financial Crises and What to …The use of fuzzy clustering algorithm and self-organizing neural networks for identifying potentially failing banks: an experimental study (2000)The use of fuzzy clustering a…Artificial neural networks in bankruptcy prediction: General framework and cross-validation analysis (1999)Artificial neural networks in…Identification of problem banks and binary choice models (1991)Identification of problem ban…A Robust Multivariate Procedure for the Identification of Problem Savings and Loan Institutions* (1989)A Robust Multivariate Procedu…Predicting Bank Failures: The Role of Structure in Affecting (1987)Predicting Bank Failures: The…SOM approach for clustering customers using credit card transactions (2019)SOM approach for clustering c…Financial Ratios As Predictors of Failure (1966)FINANCIAL RATIOS, DISCRIMINANT ANALYSIS AND THE PREDICTION OF CORPORATE BANKRUPTCY (1968)Financial Ratios and the Probabilistic Prediction of Bankruptcy (1980)Bankruptcy prediction for credit risk using neural networks: A survey and new results (2001)Artificial intelligence and business models in the sustainable development goals perspective: A systematic literature review (2020)Methodological Issues Related to the Estimation of Financial Distress Prediction Models (1984)A novel classifier ensemble approach for financial distress prediction (2017)Majority voting ensemble with a decision trees for business failure prediction during economic downturns (2021)Integration of ESG Information Into Individual Investors’ Corporate Investment Decisions: Utilizing the UTAUT Framework (2022)PREDICTION OF BANK FAILURES (1970)Early warning of bank failure (1977)Qualitative Response Models: A Survey (1994)Intertemporal diversification in financial intermediation (2001)Identifying distress among banks prior to a major crisis using non-oriented super-SBM (2014)Path modelling to bankruptcy: causes and symptoms of the banking crisis (2014)Econometric Models and Economic Forecasts (1990)Evolution of banking efficiency within an unstable macroeconomic environment: the case of Turkish commercial banks (2002)Benchmarking performance indicators for banks (2006)Probability of default and efficiency in cooperative banking (2013)Predicting performance in the savings and loan association industry (1977)Problem and Failed Institutions in the Commercial Banking Industry. (1980)An Analysis of the Causes of Savings and Loan Association Failures (1989)Multiattribute evaluation of greek banking performance (1995)The Greek banking system: Reanalysis of performance (2000)An Evaluation of the Survival Model's Contribution to Thrift Institution Distress Prediction (*) (2001)Fuzzy sets (1965)Managerial Applications of Neural Networks: The Case of Bank Failure Predictions (1992)Fuzzy sets (1996)The cluster-indexing method for case-based reasoning using self-organizing maps and learning vector quantization for bond rating cases (2001)Hybrid genetic algorithm and fuzzy clustering for bankruptcy prediction (2017)Applications of artificial intelligence for disaster management (2020)Market segmentation based on hierarchical self-organizing map for markets of multimedia on demand (2006)Marketing segmentation using support vector clustering (2006)Clustering and visualization of bankruptcy trajectory using self-organizing map (2012)Application of data mining techniques in customer relationship management: A literature review and classification (2008)A comparison of machine learning techniques for customer churn prediction (2015)Using Data Sciences in Digital Marketing: Framework, methods, and performance metrics (2020)Foreign currency debt, financial crises and economic growth: A long-run view (2010)Determinants of bank efficiency in Turkey: Participation banks versus conventional banks (2017)The Crisis Approach (2017)
this work references cited by second hop

References

  • 2004Data Mining Techniques: For Marketing, Sales, and Customer Relationship Management1,226 cited
  • 1999Artificial neural networks in bankruptcy prediction: General framework and cross-validation analysis677 cited
  • 2002Financial Crises and What to Do About Them202 cited
  • 2000The use of fuzzy clustering algorithm and self-organizing neural networks for identifying potentially failing banks: an experimental study127 cited
  • 1991Identification of problem banks and binary choice models95 cited
  • 2007Prediction of bank failures in emerging financial markets: an ANN approach74 cited
  • 1987Predicting Bank Failures: The Role of Structure in Affecting25 cited
  • 1989A Robust Multivariate Procedure for the Identification of Problem Savings and Loan Institutions*24 cited

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  • 2019SOM approach for clustering customers using credit card transactions6 cited

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