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Big data as input for predicting tourist 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 International Conference in Rome, Italy, January 24-26, 2017 / [ed] Roland Schegg, Brigitte Stangl, Springer Berlin/Heidelberg, 2017Conference paper, Published paper (Refereed)
Place, publisher, year, edition, pages
Springer Berlin/Heidelberg, 2017.
Keywords [en]
big data
National Category
Economic Geography
Identifiers
URN: urn:nbn:se:miun:diva-29210Local ID: ETOUROAI: oai:DiVA.org:miun-29210DiVA, id: diva2:1045101
Conference
ENTER Conference, Rome, Italy, 24-27 January, 2017
Projects
Kunskapsdestinationen IIAvailable from: 2016-11-08 Created: 2016-11-08 Last updated: 2018-01-11Bibliographically approved

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Fuchs, MatthiasKronenberg, KaiLexhagen, Maria

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