Improving Corporate Data Quality Through Anomaly Detection

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dc.contributorAalto Universityen
dc.contributorAalto-yliopistofi
dc.contributor.advisorMalo, Pekka
dc.contributor.advisorKuosmanen, Timo
dc.contributor.authorWinberg, Oscar
dc.contributor.departmentTieto- ja palvelujohtamisen laitosfi
dc.contributor.schoolKauppakorkeakoulufi
dc.contributor.schoolSchool of Businessen
dc.date.accessioned2019-05-26T16:01:47Z
dc.date.available2019-05-26T16:01:47Z
dc.date.issued2019
dc.format.extent74 + 2
dc.identifier.urihttps://aaltodoc.aalto.fi/handle/123456789/38117
dc.identifier.urnURN:NBN:fi:aalto-201905263203
dc.language.isoenen
dc.locationP1 Ifi
dc.programmeInformation and Service Management (ISM)en
dc.subject.keyworddata qualityen
dc.subject.keywordanomaly detectionen
dc.subject.keywordoutlier analysisen
dc.subject.keywordcategorical dataen
dc.titleImproving Corporate Data Quality Through Anomaly Detectionen
dc.titleA Case Study in the Pharmaceutical Industryen
dc.typeG2 Pro gradu, diplomityöfi
dc.type.ontasotMaster's thesisen
dc.type.ontasotMaisterin opinnäytefi
local.aalto.electroniconlyyes
local.aalto.openaccessno

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