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Prediction models for soccer sports analytics
Linköping University, Department of Computer and Information Science, Database and information techniques.
2018 (English)Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
Place, publisher, year, edition, pages
2018. , p. 108
National Category
Other Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
URN: urn:nbn:se:liu:diva-149033ISRN: LIU-IDA/LITH-EX-A--18/021--SEOAI: oai:DiVA.org:liu-149033DiVA, id: diva2:1223650
Subject / course
Computer science
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Examiners
Available from: 2018-06-28 Created: 2018-06-25 Last updated: 2018-06-28Bibliographically approved

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soccerpredictionmodels(1071 kB)71 downloads
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File name FULLTEXT01.pdfFile size 1071 kBChecksum SHA-512
c144a496672a75f2f212a6a4dc8e82572020e63dd569340b3faa824f3375738cc46bc6444e5c4d0c8424eb649cc73917a856443192404d06a7c062672542b7ad
Type fulltextMimetype application/pdf

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CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf