Study of corporate credit risk prediction based on integrating boosting and random subspace

Expert Systems with Applications

Volumn 38, Issue 11, 2011, Pages 13871-13878

  Wang, Gang ^a,b   Ma, Jian ^c  

^a HEFEI UNIVERSITY OF TECHNOLOGY   (China)

^b BEIJING UNIVERSITY OF POSTS AND TELECOMMUNICATIONS   (China)

^c CITY UNIVERSITY OF HONG KONG   (Hong Kong)

Author keywords

Boosting; Corporate credit risk prediction; Ensemble learning; Random subspace

Indexed keywords

ALTERNATIVE METHODS; ARTIFICIAL NEURAL NETWORK; BOOSTING; CREDIT RISKS; DATA SETS; ENSEMBLE LEARNING; ENSEMBLE STRATEGIES; LOGISTIC REGRESSION ANALYSIS; RANDOM SUBSPACES; RAPID GROWTH;

COMPETITION; DECISION TREES; FORECASTING; NEURAL NETWORKS; REGRESSION ANALYSIS;

RISK ASSESSMENT;

EID: 79959942257     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2011.04.191     Document Type: Article

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