Credit assessment: A least squares support feature machine approach

Proceedings - IEEE International Conference on Data Mining, ICDM

Volumn , Issue , 2006, Pages 818-822

  Li, Jianping ^a,b   Chen, Zhenyu ^a,c   Xu, Weixuan ^a  

^a Chinese Academy of Science   (China)

^b INSTITUTE OF GEOLOGY AND GEOPHYSICS   (China)

^c UNIVERSITY OF CHINESE ACADEMY OF SCIENCES   (China)

Author keywords

Credit assessment; Feature selection; Least squares support feature machine; Support vector machine

Indexed keywords

CLASSIFICATION ACCURACY; CREDIT ASSESSMENT; CREDIT CARDS; CREDIT RISK ASSESSMENT; CREDIT RISK MANAGEMENT; CRITICAL FACTORS; DATA SETS; FEATURE SELECTION; INTERPRETABILITY; LEAST SQUARE; MISCLASSIFICATION COSTS; NOVEL METHODS; REAL APPLICATIONS; SAMPLING METHOD; UNBALANCED DATA;

DATA MINING; DECISION TREES; NEURAL NETWORKS; RISK ANALYSIS; RISK ASSESSMENT; RISK MANAGEMENT; SUPPORT VECTOR MACHINES; TECHNICAL PRESENTATIONS;

FEATURE EXTRACTION;

EID: 78449294224     PISSN: 15504786     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

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