ARTÍCULO
TITULO

Credit scoring with a data mining approach based on support vector machines

Cheng-Lung Huang    
Mu-Chen Chen and Chieh-Jen    

Resumen

No disponible

 Artículos similares

       
 
Ekaterina V. Orlova    
Credit operations are fundamental in the banks? activities and provide a significant share of their income. Under an increased demand for credit resources, credit risks are growth. It keeps the importance of the problem of an increase in the efficiency o... ver más
Revista: Information

 
Beibei Niu, Jinzheng Ren and Xiaotao Li    
Financial institutions use credit scoring to evaluate potential loan default risks. However, insufficient credit information limits the peer-to-peer (P2P) lending platform?s capacity to build effective credit scoring. In recent years, many types of data ... ver más
Revista: Information

 
Ioannis E. Livieris, Niki Kiriakidou, Andreas Kanavos, Vassilis Tampakas and Panagiotis Pintelas    
Credit scoring is generally recognized as one of the most significant operational research techniques used in banking and finance, aiming to identify whether a credit consumer belongs to either a legitimate or a suspicious customer group. With the vigoro... ver más
Revista: Informatics

 
Sergio Edwin Torrico Salamanca    
El Credit Scoring es una metodología utilizada en finanzas, para cuantificar el riesgo de crédito de individuos/empresas, este artículo propone la aplicación de esta técnica como una herramienta para medir el riesgo de crédito agregado de los bancos, y d... ver más

 
Jozef Zurada    
The paper explores the effect of removing/replacing missing values on the classification performance of several models. The original data set, which contains a relatively large number of missing values, comes from the credit scoring context. This data se... ver más