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Potential research areas for big data in tourism
Brandt, Daniel
Dalarna University, School of Technology and Business Studies, Human Geography.
(CeTLeR)
ORCID iD:
0000-0002-2051-7555
Heldt, Tobias
Dalarna University, School of Technology and Business Studies, Economics.
(CeTLeR)
ORCID iD:
0000-0001-5031-3863
Wikström, Daniel
Dalarna University, School of Technology and Business Studies, Statistics.
ORCID iD:
0000-0003-4378-9593
2016 (English)
In:
Proceedings of the IFITTtalk@Östersund Workshop on Big Data & Business Intelligence in the Travel & Tourism Domain / [ed] Fuchs, M., Lexhagen, M. & Höpken, W., 2016
Conference paper, Published paper (Refereed)
Place, publisher, year, edition, pages
2016.
Keywords [en]
Business Intelligence, Big Data, Tourism
National Category
Information Systems
Research subject
Complex Systems – Microdata Analysis, General Microdata Analysis - tourism
Identifiers
URN:
urn:nbn:se:du-23616
ISBN:
978-91-88025-62-3 (print)
OAI: oai:DiVA.org:du-23616
DiVA, id:
diva2:1057827
Conference
IFITTtalk@Östersund on Big Data & Business Intelligence in Travel & Tourism Domain. Östersund, Sweden, April 11-12, 2016
Available from:
2016-12-19
Created:
2016-12-19
Last updated:
2018-01-13
Bibliographically approved
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Brandt, Daniel
Heldt, Tobias
Wikström, Daniel
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ieee
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