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dc.contributor.authorFluer, Viorica
dc.date.accessioned2022-08-24T22:02:20Z
dc.date.available2022-08-24T22:02:20Z
dc.date.issued2022
dc.identifier.citationFluer, Viorica. IS artifact embedded in an enterprise application to facilitate data collection adapted for machine learning and span software developers and data scientists expertise. Master thesis, University of Oslo, 2022
dc.identifier.urihttp://hdl.handle.net/10852/95667
dc.description.abstracteng
dc.language.isoeng
dc.subject
dc.titleIS artifact embedded in an enterprise application to facilitate data collection adapted for machine learning and span software developers and data scientists expertiseeng
dc.typeMaster thesis
dc.date.updated2022-08-25T22:00:45Z
dc.creator.authorFluer, Viorica
dc.identifier.urnURN:NBN:no-98195
dc.type.documentMasteroppgave
dc.identifier.fulltextFulltext https://www.duo.uio.no/bitstream/handle/10852/95667/5/Master-thesis-Fluer.pdf


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