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Big data analytics for tourism destinations.
Hoepken, Wolfram
University of applied sciences Ravensburg-Weingarten.
(ETOUR)
Fuchs, Matthias
Mid Sweden University, Faculty of Human Sciences, Department of Tourism Studies and Geography.
ORCID iD:
0000-0003-3964-2716
Lexhagen, Maria
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. 349-363
Chapter in book (Refereed)
Place, publisher, year, edition, pages
IGI Global, 2018, 4. p. 349-363
National Category
Other Social Sciences not elsewhere specified
Identifiers
URN:
urn:nbn:se:miun:diva-32482
DOI:
10.4018/978-1-5225-2255-3.ch031
Local ID: ETOUR
OAI: oai:DiVA.org:miun-32482
DiVA, id:
diva2:1167363
Available from:
2017-12-18
Created:
2017-12-18
Last updated:
2025-09-25
Bibliographically approved
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No full text in DiVA
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Publisher's full text
https://www.igi-global.com/chapter/big-data-analytics-for-tourism-destinations/183749
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Fuchs, Matthias
Lexhagen, Maria
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Lexhagen, Maria
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apa
ieee
modern-language-association-8th-edition
vancouver
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apa
ieee
modern-language-association-8th-edition
vancouver
Other style
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de-DE
en-GB
en-US
fi-FI
nn-NO
nn-NB
sv-SE
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de-DE
en-GB
en-US
fi-FI
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nn-NB
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text
asciidoc
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html
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