Detecting Anomalies in Migrated Data for Enterprise Resource Planning Implementation

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dc.contributorAalto Universityen
dc.contributorAalto-yliopistofi
dc.contributor.advisorMalo, Pekka
dc.contributor.advisorKuosmanen, Timo
dc.contributor.authorNgo, Quoc Tuan Vinh
dc.contributor.departmentTieto- ja palvelujohtamisen laitosfi
dc.contributor.schoolKauppakorkeakoulufi
dc.contributor.schoolSchool of Businessen
dc.date.accessioned2020-01-26T17:00:06Z
dc.date.available2020-01-26T17:00:06Z
dc.date.issued2019
dc.format.extent89+3
dc.identifier.urihttps://aaltodoc.aalto.fi/handle/123456789/42664
dc.identifier.urnURN:NBN:fi:aalto-202001261774
dc.language.isoenen
dc.locationP1 Ifi
dc.programmeInformation and Service Management (ISM)en
dc.subject.keywordERP systemen
dc.subject.keywordERP implementationen
dc.subject.keyworddata miningen
dc.subject.keywordanomaly detectionen
dc.subject.keyworddata migrationen
dc.subject.keyworddata qualityen
dc.titleDetecting Anomalies in Migrated Data for Enterprise Resource Planning Implementationen
dc.typeG2 Pro gradu, diplomityöfi
dc.type.ontasotMaster's thesisen
dc.type.ontasotMaisterin opinnäytefi
local.aalto.electroniconlyyes
local.aalto.openaccessno

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