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Anomaly detection using machine learning techniques

dc.contributor.authorVolden, Henrik Hivand
dc.date.accessioned2016-08-29T22:28:50Z
dc.date.available2016-08-29T22:28:50Z
dc.date.issued2016
dc.identifier.citationVolden, Henrik Hivand. Anomaly detection using machine learning techniques. Master thesis, University of Oslo, 2016
dc.identifier.urihttp://hdl.handle.net/10852/51850
dc.description.abstracteng
dc.language.isoeng
dc.subjectk-NN
dc.subjectSupervised learning
dc.subjectNSL-KDD
dc.subjectMachine learining
dc.subjectSVM
dc.subjectKDD CUP99
dc.titleAnomaly detection using machine learning techniqueseng
dc.typeMaster thesis
dc.date.updated2016-08-29T22:28:50Z
dc.creator.authorVolden, Henrik Hivand
dc.identifier.urnURN:NBN:no-55233
dc.type.documentMasteroppgave
dc.identifier.fulltextFulltext https://www.duo.uio.no/bitstream/handle/10852/51850/1/Volden_master_thesis.pdf


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