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Big data analytics for tourism destinations.
University of applied sciences Ravensburg-Weingarten. (ETOUR)
Mid Sweden University, Faculty of Human Sciences, Department of Tourism Studies and Geography.ORCID iD: 0000-0003-3964-2716
Mid Sweden University, Faculty of Human Sciences, Department of Tourism Studies and Geography. (Etour)ORCID iD: 0000-0002-6610-9303
2018 (English)In: Encyclopedia of Information Science and Technology  / [ed] M. Khosrow-Pour, IGI Global, 2018, 4, p. 349-363Chapter in book (Refereed)
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IGI Global, 2018, 4. p. 349-363
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Other Social Sciences not elsewhere specified
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URN: urn:nbn:se:miun:diva-32482DOI: 10.4018/978-1-5225-2255-3.ch031OAI: oai:DiVA.org:miun-32482DiVA: diva2:1167363
Available from: 2017-12-18 Created: 2017-12-18 Last updated: 2018-01-15Bibliographically approved

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Publisher's full texthttps://www.igi-global.com/chapter/big-data-analytics-for-tourism-destinations/183749

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Fuchs, MatthiasLexhagen, Maria

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