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Big Data in Cross-Disciplinary Research: J.UCS Focused Topic
Linnaeus University, Faculty of Social Sciences, Department of Social Studies. (DISA, CSS)ORCID iD: 0000-0003-2837-0137
Linnaeus University, Faculty of Arts and Humanities, Department of Languages.ORCID iD: 0000-0003-3123-6932
Linnaeus University, Faculty of Arts and Humanities, Department of Languages.ORCID iD: 0000-0002-5613-7618
Linnaeus University, Faculty of Technology, Department of computer science and media technology (CM), Department of Computer Science.ORCID iD: 0000-0002-7565-3714
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2017 (English)In: Journal of universal computer science (Online), ISSN 0948-695X, E-ISSN 0948-6968, Vol. 23, no 11, p. 1035-1037Article in journal, Editorial material (Other academic) Published
Place, publisher, year, edition, pages
2017. Vol. 23, no 11, p. 1035-1037
National Category
Computer and Information Sciences
Research subject
Computer and Information Sciences Computer Science
Identifiers
URN: urn:nbn:se:lnu:diva-72044ISI: 000429070900003OAI: oai:DiVA.org:lnu-72044DiVA, id: diva2:1194313
Available from: 2018-03-30 Created: 2018-03-30 Last updated: 2018-06-12Bibliographically approved

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Bravo, GiangiacomoLaitinen, MikkoLevin, MagnusLöwe, WelfPetersson, Göran

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Bravo, GiangiacomoLaitinen, MikkoLevin, MagnusLöwe, WelfPetersson, Göran
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Journal of universal computer science (Online)
Computer and Information Sciences

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