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Väderdata, Inverse Distance Weighting och XGBoost för prediktering av väglagsfriktion: En utforskande studie
Karlstad University, Faculty of Arts and Social Sciences (starting 2013), Karlstad Business School (from 2013).
2019 (Swedish)Independent thesis Basic level (degree of Bachelor), 180 HE creditsStudent thesisAlternative title
Weather data, Inverse Distance Weighting and XGBoost for prediction of road friction : An exploratory study (English)
Place, publisher, year, edition, pages
2019.
National Category
Information Systems
Identifiers
URN: urn:nbn:se:kau:diva-74530Local ID: 859OAI: oai:DiVA.org:kau-74530DiVA, id: diva2:1346423
Subject / course
Information Systems
Educational program
Study Programme in Web and Multimedia (180 ECTS credits)
Supervisors
Examiners
Available from: 2019-09-10 Created: 2019-08-27 Last updated: 2019-09-10Bibliographically approved

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fulltext(1489 kB)246 downloads
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File name FULLTEXT01.pdfFile size 1489 kBChecksum SHA-512
f395c9dabc46601a4e307e78b38afae31c346a48991e7ae0d800cbc0e8f13111678a877a3fae040d3c70bda7737253eb985f1c9423ce913aaf2aaaaec5437fcf
Type fulltextMimetype application/pdf

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Karlstad Business School (from 2013)
Information Systems

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CiteExportLink to record
Permanent link

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Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf