Customer churn prediction system: a machine learning approach

The customer churn prediction (CCP) is one of the challenging problems in the telecom industry. With the advancement in the field of machine learning and artificial intelligence, the possibilities to predict customer churn has increased significantly. Our proposed methodology, consists of six phases...

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Veröffentlicht in:	Computing Jg. 104; H. 2; S. 271 - 294
Hauptverfasser:	Lalwani, Praveen, Mishra, Manas Kumar, Chadha, Jasroop Singh, Sethi, Pratyush
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Vienna Springer Vienna 01.02.2022 Springer Nature B.V
Schlagworte:	Artificial Intelligence Classifiers Computer Appl. in Administrative Data Processing Computer Communication Networks Computer Science Customers Decision trees Information Systems Applications (incl.Internet) Machine learning Model accuracy Prediction models Predictions Regular Paper Search algorithms Software Engineering Support vector machines Test sets Predictive Modeling 68T01 68T05 AUC Curve Machine Learning Customer Churn Prediction Confusion Matrix
ISSN:	0010-485X, 1436-5057
Online-Zugang:	Volltext
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