Hybrid Artificial Neural Networks Using Customer Churn Prediction

P. S. Ramesh; J. Jeba Emilyn; V. Vijayakumar

doi:10.1007/s11277-021-09427-7

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JOURNAL ARTICLE

Hybrid Artificial Neural Networks Using Customer Churn Prediction

P. S. Ramesh J. Jeba Emilyn V. Vijayakumar

Year: 2021 Journal: Wireless Personal Communications Vol: 124 (2)Pages: 1695-1709 Publisher: Springer Science+Business Media

DOI: 10.1007/s11277-021-09427-7

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Keywords:

Churning Computer science Artificial neural network Random forest Customer satisfaction Artificial intelligence Machine learning Service quality Service (business) Data mining Work (physics) Quality (philosophy) Marketing

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Cited By

2.53

FWCI (Field Weighted Citation Impact)

Refs

0.89

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Citation History

Topics

Customer churn and segmentation

Social Sciences → Business, Management and Accounting → Marketing

Consumer Retail Behavior Studies

Social Sciences → Business, Management and Accounting → Marketing

Customer Service Quality and Loyalty

Social Sciences → Business, Management and Accounting → Organizational Behavior and Human Resource Management

Hybrid Artificial Neural Networks Using Customer Churn Prediction

Metrics

Citation History

Topics

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