The clustering-based case-based reasoning for imbalanced business failure prediction: A hybrid approach through integrating unsupervised process with supervised process

International Journal of Systems Science

Volumn 45, Issue 5, 2014, Pages 1225-1241

  Li, Hui ^a   Yu, Jun Ling ^a   Yu, Le An ^b,c   Sun, Jie ^a,d  

^a ZHEJIANG NORMAL UNIVERSITY   (China)

^b BEIJING UNIVERSITY OF CHEMICAL TECHNOLOGY   (China)

^c INSTITUTE OF GEOLOGY AND GEOPHYSICS   (China)

^d Dongguk University   (South Korea)

Author keywords

business failure prediction; clustering based case based reasoning (CBCBR); imbalanced case based reasoning; integration of unsupervised learning with supervised learning

Indexed keywords

BUSINESS FAILURE PREDICTION; BUSINESS FORECASTING; CASEBASED REASONINGS (CBR); DISCRIMINATE ANALYSIS; EMPIRICAL EXPERIMENTS; FORECASTING METHODS; HIER-ARCHICAL CLUSTERING; LOGISTIC REGRESSIONS;

INDUSTRY; PLANT SHUTDOWNS;

FORECASTING;

EID: 84892944443     PISSN: 00207721     EISSN: 14645319     Source Type: Journal    
DOI: 10.1080/00207721.2012.748105     Document Type: Article

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