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Big data as input for predicting tourism arrivals
University of Weingarten-Ravensburg. (ETOUR)
University of Weingarten-Ravensburg. (ETOUR)
Mid Sweden University, Faculty of Human Sciences, Department of Tourism Studies and Geography. (Etour)ORCID iD: 0000-0003-3964-2716
Mid Sweden University, Faculty of Human Sciences, Department of Tourism Studies and Geography. (Etour)ORCID iD: 0000-0002-7935-6389
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2017 (English)In: Information and Communication Technologies in Tourism 2017, Proceedings of the ENTER Conference / [ed] Roland Schegg, Brigitte Stangl, Springer Berlin/Heidelberg, 2017Conference paper, Published paper (Refereed)
Place, publisher, year, edition, pages
Springer Berlin/Heidelberg, 2017.
Keyword [en]
big data
National Category
Economic Geography
Identifiers
URN: urn:nbn:se:miun:diva-29210Local ID: ETOUROAI: oai:DiVA.org:miun-29210DiVA: diva2:1045101
Conference
ENTER Conference 24-27 January 2017
Projects
Kunskapsdestinationen II
Available from: 2016-11-08 Created: 2016-11-08 Last updated: 2017-05-17Bibliographically approved

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Fuchs, MatthiasKronenberg, KaiLexhagen, Maria
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CiteExportLink to record
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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
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Output format
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