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ArticleBio-Inspired Credit Risk Analysis: Computational Intelligence with Support Vector Machines

Lean Yu2008

Article2008

Bio-Inspired Credit Risk Analysis: Computational Intelligence with Support Vector Machines

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Financial Distress and Bankruptcy Prediction Data Mining and Machine Learning Applications Imbalanced Data Classification Techniques

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References

1984Methodological Issues Related to the Estimation of Financial Distress Prediction Models 2007Credit risk assessment with a multistage neural network ensemble learning approach 2004A novel nonlinear ensemble forecasting model incorporating GLAR and ANN for foreign exchange rates 2000Credit scoring using neural and evolutionary techniques 2006An integrated data preparation scheme for neural network data analysis 2003An Integrated Group Decision-Making Method Dealing with Fuzzy Preferences for Alternatives and Individual Judgments for Selection Criteria

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2011Enhancing investment decisions in P2P lending 2009A MODIFIED LEAST SQUARES SUPPORT VECTOR MACHINE CLASSIFIER WITH APPLICATION TO CREDIT RISK ANALYSIS 2010Credit risk evaluation with kernel-based affine subspace nearest points learning method

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2008Bio-Inspired Credit Risk Analysisbook · 6 shared references 2010Bankruptcy forecasting: A hybrid approach using Fuzzy c-means clustering and Multivariate Adaptive Regression Splines (MARS)article · 2 shared references 2014Selection of Support Vector Machines based classifiers for credit risk domainarticle · 2 shared references 2009Support vector machine based multiagent ensemble learning for credit risk evaluationarticle · 2 shared references 2011Credit risk evaluation using a weighted least squares SVM classifier with design of experiment for parameter selectionarticle · 2 shared references 2014An insight into the experimental design for credit risk and corporate bankruptcy prediction systemsarticle · 2 shared references

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Year2008

Typearticle

Published2008-06-03

Languageen

Citations48

Files0 public / 0

ShelfFinancial Distress and Bankruptcy Prediction

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doi10.1007/978-3-540-77803-5

openalex_workW1515397008

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