Improving classification accuracy and causal knowledge for better credit decisions

International Journal of Neural Systems

Volumn 21, Issue 4, 2011, Pages 297-309

  Wu, Wei Wen ^a  

^a TA HWA INSTITUTE OF TECHNOLOGY   (Taiwan)

Author keywords

Bayesian network classifier; causal knowledge; classification accuracy; Credit scoring

Indexed keywords

BAYESIAN NETWORK CLASSIFIERS; CAUSAL KNOWLEDGE; CAUSAL RELATIONS; CLASSIFICATION ACCURACY; CREDIT SCORING; CREDIT SCORING MODEL; DATA PREPROCESSING; HYBRID APPROACH; MACHINE LEARNING TECHNIQUES; SEARCH ALGORITHMS;

BAYESIAN NETWORKS; DISTRIBUTED PARAMETER NETWORKS; INFERENCE ENGINES; INTELLIGENT NETWORKS; LEARNING ALGORITHMS; SODIUM;

TREES (MATHEMATICS);

ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; BAYES THEOREM; DECISION MAKING; HUMAN; KNOWLEDGE; STATISTICAL MODEL;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; BAYES THEOREM; DECISION MAKING; HUMANS; KNOWLEDGE; MODELS, STATISTICAL;

EID: 79961053087     PISSN: 01290657     EISSN: None     Source Type: Journal    
DOI: 10.1142/S0129065711002845     Document Type: Article

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