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Bortom Business Intelligence
Inst. för data- och systemvetenskap, Stockholms universitet.
Mid Sweden University, Faculty of Science, Technology and Media, Department of Information Technology and Media. (RDALAB)ORCID iD: 0000-0002-0665-1889
Mid Sweden University, Faculty of Science, Technology and Media, Department of Information Technology and Media.
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2009 (Swedish)Book (Other academic)
Place, publisher, year, edition, pages
Stockholm: Sine Metu , 2009, 1. , p. 157
National Category
Computer Sciences
Identifiers
URN: urn:nbn:se:miun:diva-9987ISBN: 978-91-978450-0-7 (print)OAI: oai:DiVA.org:miun-9987DiVA, id: diva2:245896
Available from: 2009-10-07 Created: 2009-10-07 Last updated: 2018-01-13Bibliographically approved

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fulltext(2946 kB)958 downloads
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File name FULLTEXT01.pdfFile size 2946 kBChecksum SHA-512
8fba35f5cc5bd91b6ca5bc878470100e515a23cd47042a5a02a34a665a6a54d161090dc42c502142073b03e016a10c4c9c6dc4c2cd745a0375350d9a300fad18
Type fulltextMimetype application/pdf

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Ekenberg, LoveIdefeldt, JimLarsson, Aron

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Ekenberg, LoveIdefeldt, JimLarsson, Aron
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CiteExportLink to record
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Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
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  • de-DE
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  • en-US
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  • nn-NO
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Output format
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