Statistical algorithms for anomaly detection

dc.contributorAalto-yliopistofi
dc.contributorAalto Universityen
dc.contributor.advisorTirkkonen, Olav
dc.contributor.authorJami, Marzieh
dc.contributor.schoolSähkötekniikan korkeakoulufi
dc.contributor.supervisorTirkkonen, Olav
dc.date.accessioned2020-12-20T18:11:57Z
dc.date.available2020-12-20T18:11:57Z
dc.date.issued2020-12-15
dc.format.extent42
dc.identifier.urihttps://aaltodoc.aalto.fi/handle/123456789/97581
dc.identifier.urnURN:NBN:fi:aalto-2020122056408
dc.language.isoenen
dc.locationP1fi
dc.programmeCCIS - Master’s Programme in Computer, Communication and Information Sciences (TS2013)fi
dc.programme.majorCommunications Engineeringfi
dc.programme.mcodeELEC3029fi
dc.subject.keywordanomaly detectionen
dc.subject.keywordstatistical hypothesis testingen
dc.subject.keywordk-nearest neighboren
dc.subject.keywordwireless communicationsen
dc.titleStatistical algorithms for anomaly detectionen
dc.typeG2 Pro gradu, diplomityöfi
dc.type.ontasotMaster's thesisen
dc.type.ontasotDiplomityöfi
local.aalto.electroniconlyyes
local.aalto.openaccessno

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