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A Comparative Study on Data Mining Algorithms for Individual Credit Risk Evaluation
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A Comparative Study on Data Mining Algorithms for Individual Credit Risk Evaluation (2010)A Comparative Study on Data Mining Algori…Credit rating analysis with support vector machines and neural networks: a market comparative study (2003)Credit rating analysis with s…Using Neural Networks for Credit Scoring (1992)Using Neural Networks for Cre…Introducing Recursive Partitioning for Financial Classification: The Case of Financial Distress (1985)Introducing Recursive Partiti…Recent Development in Big Data Analytics for Business Operations and Risk Management (2016)Recent Development in Big Dat…Obtaining Classification Rules Using LVQ+PSO: An Application to Credit Risk (2015)Obtaining Classification Rule…KLASIFIKASI DATA MINING DALAM MENENTUKAN PEMBERIAN KREDIT BAGI NASABAH KOPERASI (2015)KLASIFIKASI DATA MINING DALAM…Financial Ratios As Predictors of Failure (1966)FINANCIAL RATIOS, DISCRIMINANT ANALYSIS AND THE PREDICTION OF CORPORATE BANKRUPTCY (1968)ZETATM analysis A new model to identify bankruptcy risk of corporations (1977)An application of the cox proportional hazards model to bank failure (1986)A survey of business failures with an emphasis on prediction methods and industrial applications (1996)Predicting corporate financial distress: Reflections on choice-based sample bias (2002)A Discriminant Analysis of Predictors of Business Failure (1972)Managerial Applications of Neural Networks: The Case of Bank Failure Predictions (1992)Bankruptcy prediction using support vector machine with optimal choice of kernel function parameters (2005)Assessing bank efficiency and performance with operational research and artificial intelligence techniques: A survey (2009)Consumer credit-risk models via machine-learning algorithms (2010)Portfolio Selection: Efficient Diversification of Investments (1959)Big data: The next frontier for innovation, competition, and productivity (2011)Big Data : The Management Revolution (2013)A digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0 (2020)Predicting the impacts of epidemic outbreaks on global supply chains: A simulation-based analysis on the coronavirus outbreak (COVID-19/SARS-CoV-2) case (2020)Viable supply chain model: integrating agility, resilience and sustainability perspectives—lessons from and thinking beyond the COVID-19 pandemic (2020)Forecasting exchange rates using general regression neural networks (2000)A comparative survey of artificial intelligence applications in finance: artificial neural networks, expert system and hybrid intelligent systems (2010)Intellectual capital and corporate performance in Iranian pharmaceutical industry (2012)
this work references cited by second hop

References

  • 2003Credit rating analysis with support vector machines and neural networks: a market comparative study1,017 cited
  • 1985Introducing Recursive Partitioning for Financial Classification: The Case of Financial Distress748 cited
  • 1992Using Neural Networks for Credit Scoring189 cited

Cited by

  • 2016Recent Development in Big Data Analytics for Business Operations and Risk Management286 cited
  • 2015KLASIFIKASI DATA MINING DALAM MENENTUKAN PEMBERIAN KREDIT BAGI NASABAH KOPERASI15 cited
  • 2015Obtaining Classification Rules Using LVQ+PSO: An Application to Credit Risk12 cited

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