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Predicting Churn Behaviour in the Telecommunications Industry
Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology.
2016 (English)Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
Place, publisher, year, edition, pages
2016. , p. 65
Series
IT ; 16087
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:uu:diva-310913OAI: oai:DiVA.org:uu-310913DiVA, id: diva2:1058162
Educational program
Master Programme in Computational Science
Supervisors
Examiners
Available from: 2016-12-20 Created: 2016-12-20 Last updated: 2016-12-20Bibliographically approved

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CiteExportLink to record
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Citation style
  • apa
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