Ändra sökning
RefereraExporteraLänk till posten
Permanent länk

Direktlänk
Referera
Referensformat
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Annat format
Fler format
Språk
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Annat språk
Fler språk
Utmatningsformat
  • html
  • text
  • asciidoc
  • rtf
Study of Users’ Data Volume as Function of Quality of Experience for Churn Prediction
Blekinge Tekniska Högskola. (Faculty of Computing)
2016 (Engelska)Självständigt arbete på avancerad nivå (masterexamen), 20 poäng / 30 hpStudentuppsats (Examensarbete)
Abstract [en]

Customer churn has always been a problem to be addressed by the telecommunication service providers. So far, work done in this regard was based on analyzing historical data of the customers by using different data mining techniques. Investigations based on individual user behavior with a motive of churn prediction are expected to give an idea about the user’s point view towards churn. Data volumes/data usage of the users is seen as parameter to assess the satisfaction of the users with the service. The subjective and objective behavior of the mobile phone users has been captured by collecting data about the data volumes/data usage for both Wi-Fi and mobile services along with their ratings of Quality of Experience (QoE).

 

The Experience Sampling Method has been deployed to collect the user data. Android tool was used to collect weekly data volumes of the users. A questionnaire was prepared with questions regarding quality, annoyance and churn risk of the users. The questionnaire was used to collect the weekly opinions of the users on the service. A total of 22 users participated in the study, of which 3 persons churned to other service provider during the study. The data collected in the study was analyzed using averages, correlations and decision trees. Comparisons were made between Wi-Fi and mobile services, churners and non-churners/active users. A 2-fold churn prediction model was proposed based on conclusions of the study.

Ort, förlag, år, upplaga, sidor
2016. , s. 38
Nyckelord [en]
Churn, Mobile Data, Quality of Experience, Experience Sampling Method
Nationell ämneskategori
Telekommunikation
Identifikatorer
URN: urn:nbn:se:bth-13611OAI: oai:DiVA.org:bth-13611DiVA, id: diva2:1056482
Ämne / kurs
ET2580 Masterarbete i elektroteknik med inriktning mot telekommunikationssystem
Utbildningsprogram
ETATX Masterprogram i Elektroteknik med inriktning mot Telekommunikation
Presentation
2016-09-26, J3208 Claude Shannon, Blekinge Institute of Technology SE-371 79 Karlskrona, Sweden, Karlskrona, 11:45 (Engelska)
Handledare
Examinatorer
Tillgänglig från: 2016-12-15 Skapad: 2016-12-14 Senast uppdaterad: 2016-12-15Bibliografiskt granskad

Open Access i DiVA

fulltext(1413 kB)241 nedladdningar
Filinformation
Filnamn FULLTEXT02.pdfFilstorlek 1413 kBChecksumma SHA-512
54d4144e350bdb07dd043b2cb2e60fe8aba6682319b23fefb396b16176dd9d4cd76293cd5dfb4b47009cc09806dcd8c1f80cc572951a98ebe4a4ec82da341c1f
Typ fulltextMimetyp application/pdf

Av organisationen
Blekinge Tekniska Högskola
Telekommunikation

Sök vidare utanför DiVA

GoogleGoogle Scholar
Totalt: 241 nedladdningar
Antalet nedladdningar är summan av nedladdningar för alla fulltexter. Det kan inkludera t.ex tidigare versioner som nu inte längre är tillgängliga.

urn-nbn

Altmetricpoäng

urn-nbn
Totalt: 1146 träffar
RefereraExporteraLänk till posten
Permanent länk

Direktlänk
Referera
Referensformat
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Annat format
Fler format
Språk
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Annat språk
Fler språk
Utmatningsformat
  • html
  • text
  • asciidoc
  • rtf