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dc:creator <https://dblp.l3s.de/d2r/resource/authors/Daniel_Urda>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/Ignacio_D%E2%88%9A%E2%89%A0az-Cano>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/Roberto_Mag%E2%88%9A%C2%B0n-Carri%E2%88%9A%E2%89%A5n>
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foaf:homepage <https://doi.org/10.1007/978-3-030-87872-6_12>
dc:identifier DBLP conf/cisis-spain/Magan-CarrionUD21 (xsd:string)
dc:identifier DOI doi.org%2F10.1007%2F978-3-030-87872-6%5F12 (xsd:string)
dcterms:issued 2021 (xsd:gYear)
rdfs:label Assessing the Impact of Batch-Based Data Aggregation Techniques for Feature Engineering on Machine Learning-Based Network IDSs. (xsd:string)
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foaf:maker <https://dblp.l3s.de/d2r/resource/authors/Roberto_Mag%E2%88%9A%C2%B0n-Carri%E2%88%9A%E2%89%A5n>
swrc:pages 116-125 (xsd:string)
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dc:title Assessing the Impact of Batch-Based Data Aggregation Techniques for Feature Engineering on Machine Learning-Based Network IDSs. (xsd:string)
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rdf:type swrc:InProceedings
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