Pages that link to "Item:Q5694076"
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The following pages link to Data mining feature selection for credit scoring models (Q5694076):
Displaying 12 items.
- Weight-selected attribute bagging for credit scoring (Q473541) (← links)
- A multi-dimensional forward selection method for firms' credit sale (Q929105) (← links)
- Credit scoring using support vector machines with direct search for parameters selection (Q1006913) (← links)
- Evaluating feature selection methods for learning in data mining applications. (Q1429953) (← links)
- Object selection in credit scoring using covariance matrix of parameters estimations (Q1703531) (← links)
- Cost-based feature selection for support vector machines: an application in credit scoring (Q1753611) (← links)
- Mining the customer credit using classification and regression tree and multivariate adaptive regression splines (Q2257606) (← links)
- Feature selection for better identification of subtypes of Guillain-Barré syndrome (Q2330162) (← links)
- Bayesian data mining, with application to benchmarking and credit scoring (Q2722292) (← links)
- Variable selection in classification model via quadratic programming (Q5084969) (← links)
- An application of locally linear model tree algorithm with combination of feature selection in credit scoring (Q5499826) (← links)
- Computational Science – ICCS 2005 (Q5709723) (← links)
