A proposed hybrid framework to improve the accuracy of customer churn prediction in telecom industry
- Standort
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Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
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1 Online-Ressource.
- Sprache
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Englisch
- Erschienen in
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A proposed hybrid framework to improve the accuracy of customer churn prediction in telecom industry ; volume:11 ; number:1 ; day:9 ; month:5 ; year:2024 ; pages:1-27 ; date:12.2024
Journal of Big Data ; 11, Heft 1 (9.5.2024), 1-27, 12.2024
- Urheber
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Ouf, Shimaa
Mahmoud, Kholoud T.
Abdel-Fattah, Manal A.
- Beteiligte Personen und Organisationen
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SpringerLink (Online service)
- DOI
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10.1186/s40537-024-00922-9
- URN
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urn:nbn:de:101:1-2407190810363.680833802470
- Rechteinformation
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
14.08.2025, 10:56 MESZ
Datenpartner
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Beteiligte
- Ouf, Shimaa
- Mahmoud, Kholoud T.
- Abdel-Fattah, Manal A.
- SpringerLink (Online service)
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