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dcterms:bibliographicCitation <http://dblp.uni-trier.de/rec/bibtex/journals/imds/Zhang0YLN23>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/Du_Ni>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/Mei_Yang>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/Ming_K._Lim_0001>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/Wenfeng_Zhang>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/Xingzhi_Li>
foaf:homepage <http://dx.doi.org/doi.org%2F10.1108%2FIMDS-08-2022-0468>
foaf:homepage <https://doi.org/10.1108/IMDS-08-2022-0468>
dc:identifier DBLP journals/imds/Zhang0YLN23 (xsd:string)
dc:identifier DOI doi.org%2F10.1108%2FIMDS-08-2022-0468 (xsd:string)
dcterms:issued 2023 (xsd:gYear)
swrc:journal <https://dblp.l3s.de/d2r/resource/journals/imds>
rdfs:label Using deep learning to interpolate the missing data in time-series for credit risks along supply chain. (xsd:string)
foaf:maker <https://dblp.l3s.de/d2r/resource/authors/Du_Ni>
foaf:maker <https://dblp.l3s.de/d2r/resource/authors/Mei_Yang>
foaf:maker <https://dblp.l3s.de/d2r/resource/authors/Ming_K._Lim_0001>
foaf:maker <https://dblp.l3s.de/d2r/resource/authors/Wenfeng_Zhang>
foaf:maker <https://dblp.l3s.de/d2r/resource/authors/Xingzhi_Li>
swrc:number 5 (xsd:string)
swrc:pages 1401-1417 (xsd:string)
owl:sameAs <http://bibsonomy.org/uri/bibtexkey/journals/imds/Zhang0YLN23/dblp>
owl:sameAs <http://dblp.rkbexplorer.com/id/journals/imds/Zhang0YLN23>
rdfs:seeAlso <http://dblp.uni-trier.de/db/journals/imds/imds123.html#Zhang0YLN23>
rdfs:seeAlso <https://doi.org/10.1108/IMDS-08-2022-0468>
dc:title Using deep learning to interpolate the missing data in time-series for credit risks along supply chain. (xsd:string)
dc:type <http://purl.org/dc/dcmitype/Text>
rdf:type swrc:Article
rdf:type foaf:Document
swrc:volume 123 (xsd:string)