Please use this identifier to cite or link to this item: https://hdl.handle.net/10216/157182
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dc.creatorFrancisco da Costa Brito
dc.date.accessioned2025-11-07T12:20:47Z-
dc.date.available2025-11-07T12:20:47Z-
dc.date.issued2023-11-24
dc.date.submitted2024-02-07
dc.identifier.othersigarra:659983
dc.identifier.urihttps://hdl.handle.net/10216/157182-
dc.language.isoeng
dc.rightsopenAccess
dc.subjectCiências exactas e naturais
dc.subjectNatural sciences
dc.titleAnomaly Detection in Cybersecurity through Semi-supervision
dc.typeRelatório de Estágio
dc.contributor.uportoFaculdade de Ciências
dc.identifier.doi10.34626/pkhx-bz03
dc.identifier.tid203500440
dc.subject.fosCiências exactas e naturais
dc.subject.fosNatural sciences
thesis.degree.disciplineMestrado em Estatística Computacional e Análise de Dados
thesis.degree.grantorFaculdade de Ciências
thesis.degree.grantorUniversidade do Porto
thesis.degree.level1
Appears in Collections:FCUP - Relatório de Estágio

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