Principal component case-based reasoning ensemble for business failure prediction

Information and Management

Volumn 48, Issue 6, 2011, Pages 220-227

  Li, Hui ^a,b   Sun, Jie ^a  

^a ZHEJIANG NORMAL UNIVERSITY   (China)

^b The Ohio State University   (United States)

Author keywords

Business failure prediction (BFP); Multiple models combination; Principal component case based reasoning ensemble (PC CBR E)

Indexed keywords

BASE MODELS; BUSINESS FAILURE PREDICTION; CBR; ENSEMBLE METHODS; FEATURE SELECTION METHODS; LOGISTIC REGRESSIONS; MAJORITY VOTING; MULTIPLE MODELS; MULTIVARIATE DISCRIMINANT ANALYSIS; PREDICTIVE ABILITIES; PREDICTIVE PERFORMANCE; PRINCIPAL COMPONENTS; SIGNIFICANCE TEST;

ALGORITHMS; CASE BASED REASONING; DISCRIMINANT ANALYSIS; FEATURE EXTRACTION; FORECASTING; MULTIVARIANT ANALYSIS; PLANT SHUTDOWNS;

PRINCIPAL COMPONENT ANALYSIS;

EID: 79960716960     PISSN: 03787206     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.im.2011.05.001     Document Type: Article

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