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dc:creator <https://dblp.l3s.de/d2r/resource/authors/Pelayo_Quir%E2%88%9A%E2%89%A5s>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/V%E2%88%9A%E2%89%A0ctor_%E2%88%9A%C4%80lvarez-L%E2%88%9A%E2%89%A5pez>
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foaf:homepage <https://doi.org/10.1145/3309772.3309773>
dc:identifier DBLP conf/appis/Alvarez-LopezAQ19 (xsd:string)
dc:identifier DOI doi.org%2F10.1145%2F3309772.3309773 (xsd:string)
dcterms:issued 2019 (xsd:gYear)
rdfs:label Hybrid machine learning methods for demand forecasting: consecutive application of classification and regression methods for the forecasting of periodic and non-continuous demand. (xsd:string)
foaf:maker <https://dblp.l3s.de/d2r/resource/authors/B._Rosario_Campomanes-%E2%88%9A%C4%80lvarez>
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foaf:maker <https://dblp.l3s.de/d2r/resource/authors/V%E2%88%9A%E2%89%A0ctor_%E2%88%9A%C4%80lvarez-L%E2%88%9A%E2%89%A5pez>
swrc:pages 1:1-1:6 (xsd:string)
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rdfs:seeAlso <https://doi.org/10.1145/3309772.3309773>
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dc:title Hybrid machine learning methods for demand forecasting: consecutive application of classification and regression methods for the forecasting of periodic and non-continuous demand. (xsd:string)
dc:type <http://purl.org/dc/dcmitype/Text>
rdf:type swrc:InProceedings
rdf:type foaf:Document