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dc:creator <https://dblp.l3s.de/d2r/resource/authors/Maria_Rosienkiewicz>
foaf:homepage <http://dx.doi.org/doi.org%2F10.1007%2F978-3-030-30443-0%5F16>
foaf:homepage <https://doi.org/10.1007/978-3-030-30443-0_16>
dc:identifier DBLP conf/isat/Rosienkiewicz19 (xsd:string)
dc:identifier DOI doi.org%2F10.1007%2F978-3-030-30443-0%5F16 (xsd:string)
dcterms:issued 2019 (xsd:gYear)
rdfs:label Accuracy Assessment of Artificial Intelligence-Based Hybrid Models for Spare Parts Demand Forecasting in Mining Industry. (xsd:string)
foaf:maker <https://dblp.l3s.de/d2r/resource/authors/Maria_Rosienkiewicz>
swrc:pages 176-187 (xsd:string)
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rdfs:seeAlso <https://doi.org/10.1007/978-3-030-30443-0_16>
swrc:series <https://dblp.l3s.de/d2r/resource/conferences/isat>
dc:title Accuracy Assessment of Artificial Intelligence-Based Hybrid Models for Spare Parts Demand Forecasting in Mining Industry. (xsd:string)
dc:type <http://purl.org/dc/dcmitype/Text>
rdf:type swrc:InProceedings
rdf:type foaf:Document