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dc.contributor.advisorWiktorski, Tomasz
dc.contributor.authorLarsen, Kristoffer Skjæveland
dc.contributor.authorFattnes, Aleksander Odland
dc.date.accessioned2021-09-07T16:30:26Z
dc.date.available2021-09-07T16:30:26Z
dc.date.issued2021
dc.identifierno.uis:inspera:78872743:37063539
dc.identifier.urihttps://hdl.handle.net/11250/2774424
dc.description.abstractWe develop an algorithm to automate data alignment by precisely identifying stops in data collected from NEEDED 2018. Our approach make suggestions for a corrected timestamp and create a reports which are used for final verification purposes. These reports also facilitate manual corrections where applicable.
dc.description.abstractWe develop an algorithm to automate data alignment by precisely identifying stops in data collected from NEEDED 2018. Our approach make suggestions for a corrected timestamp and create a reports which are used for final verification purposes. These reports also facilitate manual corrections where applicable.
dc.languageeng
dc.publisheruis
dc.titleAutomated data alignment during sports events
dc.typeBachelor thesis


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