Predicting customer churn: A systematic literature review

DOI10.1080/09720529.2022.2133238OpenAlexW4312838106MaRDI QIDQ5059507

Soumi de, P. Prabu

Publication date: 23 December 2022

Published in: Journal of Discrete Mathematical Sciences and Cryptography (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/09720529.2022.2133238

zbMATH Keywords

machine learningsystematic literature reviewcustomer churn

Mathematics Subject Classification ID

Theory of languages and software systems (knowledge-based systems, expert systems, etc.) for artificial intelligence (68T35)

Cites Work

• A new hybrid classification algorithm for customer churn prediction based on logistic regression and decision trees
• Profit driven decision trees for churn prediction
• How training on multiple time slices improves performance in churn prediction
• Profit-based churn prediction based on minimax probability machines
• Modelling and predicting customer churn from an insurance company
• Churn detection via customer profile modelling

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