ADtreesLogit model for customer churn prediction

DOI10.1007/s10479-008-0400-8zbMath1179.90037OpenAlexW2057292389MaRDI QIDQ2271853

Ling Li, Li Zhang, Yao Shen, Jiayin Qi, Liang Liang, Huaizu Li, Yongpin Zhou, Yan Ping Liu

Publication date: 4 August 2009

Published in: Annals of Operations Research (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10479-008-0400-8

zbMATH Keywords

logistic regressiondata miningADTreescustomer churn

Mathematics Subject Classification ID

Transportation, logistics and supply chain management (90B06) Case-oriented studies in operations research (90B90) Consumer behavior, demand theory (91B42)

Related Items (5)

A stochastic comparison of customer classifiers with an application to customer attrition in commercial banking ⋮ A diffusion model for churn prediction based on sociometric theory ⋮ On the optimal binary classifier with an application ⋮ A hierarchical multiple kernel support vector machine for customer churn prediction using longitudinal behavioral data ⋮ A criterion for the comparison of binary classifiers based on a stochastic dominance with an application to the sale of home insurances

Uses Software

• AdaBoost.MH

Cites Work

• Unnamed Item
• Computer assisted customer churn management: state-of-the-art and future trends
• A decision-theoretic generalization of on-line learning and an application to boosting
• Using MLP networks to design a production scheduling system
• A decision model for reducing active power losses during electric power dispatching
• Customer satisfaction measurement in the private bank sector.

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