Two credit scoring models based on dual strategy ensemble trees

Knowledge-Based Systems

Volumn 26, Issue , 2012, Pages 61-68

  Wang, Gang ^a,b   Ma, Jian ^c   Huang, Lihua ^d   Xu, Kaiquan ^c,e  

^a HEFEI UNIVERSITY OF TECHNOLOGY   (China)

^b BEIJING UNIVERSITY OF POSTS AND TELECOMMUNICATIONS   (China)

^c CITY UNIVERSITY OF HONG KONG   (Hong Kong)

^d FUDAN UNIVERSITY   (China)

^e NANJING UNIVERSITY   (China)

Author keywords

Bagging; Credit scoring; Decision tree; Ensemble learning; Random subspace

Indexed keywords

BAGGING; CLASSIFICATION ACCURACY; CLASSIFICATION ALGORITHM; CREDIT SCORING; CREDIT SCORING MODEL; DATA SETS; ENSEMBLE CLASSIFIERS; ENSEMBLE LEARNING; ENSEMBLE STRATEGIES; LINEAR DISCRIMINANT ANALYSIS; LOGISTIC REGRESSION ANALYSIS; MULTI LAYER PERCEPTRON; NOISE DATA; RANDOM FORESTS; RANDOM SUBSPACES;

DATA MINING; DECISION TREES; DISCRIMINANT ANALYSIS; LEARNING ALGORITHMS; RADIAL BASIS FUNCTION NETWORKS; REGRESSION ANALYSIS;

FORESTRY;

ALGORITHMS; CLASSIFICATION; DATA PROCESSING; MATHEMATICAL MODELS; REGRESSION ANALYSIS;

EID: 84155181098     PISSN: 09507051     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.knosys.2011.06.020     Document Type: Article

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