Enhancing customer retention in telecom industry with machine learning driven churn prediction
- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
-
1 Online-Ressource.
- Sprache
-
Englisch
- Erschienen in
-
Enhancing customer retention in telecom industry with machine learning driven churn prediction ; volume:14 ; number:1 ; day:7 ; month:6 ; year:2024 ; pages:1-13 ; date:12.2024
Scientific reports ; 14, Heft 1 (7.6.2024), 1-13, 12.2024
- Urheber
-
Sikri, Alisha
Jameel, Roshan
Idrees, Sheikh Mohammad
Kaur, Harleen
- Beteiligte Personen und Organisationen
-
SpringerLink (Online service)
- DOI
-
10.1038/s41598-024-63750-0
- URN
-
urn:nbn:de:101:1-2408151240509.272579497467
- Rechteinformation
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
14.08.2025, 10:47 MESZ
Datenpartner
Dieses Objekt wird bereitgestellt von:
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Beteiligte
- Sikri, Alisha
- Jameel, Roshan
- Idrees, Sheikh Mohammad
- Kaur, Harleen
- SpringerLink (Online service)
Ähnliche Objekte (12)
An Empirical Study to Measure Customer Experience for Telecom Operators in Indian Telecom Industry
Enhancing customer retention using customer relationship management approach in car loan bussiness
Customer retention in the automotive industry : quality, satisfaction and loyalty
A proposed hybrid framework to improve the accuracy of customer churn prediction in telecom industry
Service Quality in Shipping Industry of Ghana – Determinants and Impact on Customer Satisfaction and Customer Retention
The Analysis of the Ghana Telecom Industry
Increasing customer retention in financial institutions
Vertical software industry evolution : analysis of Telecom operator software
Customer churn prediction in telecom using machine learning in big data platform
Customer retention and churn prediction in the telecommunication industry: a case study on a Danish university
Quantifying the link between employee engagement, and customer satisfaction and retention in the car rental industry
Telecom 1971
An Empirical Study to Measure Customer Experience for Telecom Operators in Indian Telecom Industry
Enhancing customer retention using customer relationship management approach in car loan bussiness
Customer retention in the automotive industry : quality, satisfaction and loyalty
A proposed hybrid framework to improve the accuracy of customer churn prediction in telecom industry
Service Quality in Shipping Industry of Ghana – Determinants and Impact on Customer Satisfaction and Customer Retention
The Analysis of the Ghana Telecom Industry
Increasing customer retention in financial institutions
Vertical software industry evolution : analysis of Telecom operator software
Customer churn prediction in telecom using machine learning in big data platform
Customer retention and churn prediction in the telecommunication industry: a case study on a Danish university
Quantifying the link between employee engagement, and customer satisfaction and retention in the car rental industry
Telecom 1971
An Empirical Study to Measure Customer Experience for Telecom Operators in Indian Telecom Industry
Enhancing customer retention using customer relationship management approach in car loan bussiness
Customer retention in the automotive industry : quality, satisfaction and loyalty
A proposed hybrid framework to improve the accuracy of customer churn prediction in telecom industry
Service Quality in Shipping Industry of Ghana – Determinants and Impact on Customer Satisfaction and Customer Retention
The Analysis of the Ghana Telecom Industry
Increasing customer retention in financial institutions
Vertical software industry evolution : analysis of Telecom operator software
Customer churn prediction in telecom using machine learning in big data platform
Customer retention and churn prediction in the telecommunication industry: a case study on a Danish university
Quantifying the link between employee engagement, and customer satisfaction and retention in the car rental industry