Research on credit-risk models via machine-learning algorithms and logistic regression for predicting CBA consumer behaviour. | D2R Server publishing the DBLP Bibliography Database, hosted at L3S Research Center

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dc:creator	<https://dblp.l3s.de/d2r/resource/authors/Fang_Fang>
dc:creator	<https://dblp.l3s.de/d2r/resource/authors/Te_Bu>
foaf:homepage	<http://dx.doi.org/doi.org%2F10.1109%2FCIPAE60493.2023.00073>
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dc:identifier	DBLP conf/cipae/FangBF23 (xsd:string)
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dcterms:issued	2023 (xsd:gYear)
rdfs:label	Research on credit-risk models via machine-learning algorithms and logistic regression for predicting CBA consumer behaviour. (xsd:string)
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swrc:pages	344-350 (xsd:string)
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rdfs:seeAlso	<http://dblp.uni-trier.de/db/conf/cipae/cipae2023.html#FangBF23>
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dc:title	Research on credit-risk models via machine-learning algorithms and logistic regression for predicting CBA consumer behaviour. (xsd:string)
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