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A business intelligence solution of handling traveling data with R and Shiny
Dalarna University, School of Technology and Business Studies, Statistics. (Mikrodataanalys)ORCID iD: 0000-0003-4378-9593
Dalarna University, School of Technology and Business Studies, Human Geography. (CeTLeR)ORCID iD: 0000-0002-2051-7555
Dalarna University, School of Technology and Business Studies, Economics. (CeTLeR)ORCID iD: 0000-0001-5031-3863
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., 2016Conference paper, Published paper (Refereed)
Place, publisher, year, edition, pages
2016.
National Category
Information Systems
Research subject
Research Profiles 2009-2020, Complex Systems – Microdata Analysis
Identifiers
URN: urn:nbn:se:du-23617ISBN: 978-91-88025-62-3 (print)OAI: oai:DiVA.org:du-23617DiVA, id: diva2:1057832
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: 2021-11-12Bibliographically approved

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Wikström, DanielBrandt, DanielHeldt, Tobias

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CiteExportLink to record
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  • apa
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