Machine learning multiclass classification approach for predicting the investment activity of corporate customers – A wealth management perspective

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dc.contributorAalto Universityen
dc.contributorAalto-yliopistofi
dc.contributor.advisorMalo, Pekka
dc.contributor.authorWelling, Aake
dc.contributor.departmentTieto- ja palvelujohtamisen laitosfi
dc.contributor.schoolKauppakorkeakoulufi
dc.contributor.schoolSchool of Businessen
dc.date.accessioned2022-09-11T16:06:03Z
dc.date.available2022-09-11T16:06:03Z
dc.date.issued2022
dc.format.extent87 + 9
dc.identifier.urihttps://aaltodoc.aalto.fi/handle/123456789/116674
dc.identifier.urnURN:NBN:fi:aalto-202209115478
dc.language.isoenen
dc.locationP1 Ifi
dc.programmeInformation and Service Management (ISM)en
dc.subject.keywordCLVen
dc.subject.keywordCRMen
dc.subject.keywordMLen
dc.subject.keywordrandom foresten
dc.subject.keywordtime series foresten
dc.subject.keywordgradient boostingen
dc.subject.keywordmulticlass classificationen
dc.subject.keywordinvestment servicesen
dc.titleMachine learning multiclass classification approach for predicting the investment activity of corporate customers – A wealth management perspectiveen
dc.typeG2 Pro gradu, diplomityöfi
dc.type.ontasotMaster's thesisen
dc.type.ontasotMaisterin opinnäytefi
local.aalto.electroniconlyyes
local.aalto.openaccessno

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