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Telecom Customer Churn Analysis Based on Decision Tree Model

Journal: International Journal of Trend in Scientific Research and Development (Vol.9, No. 5)

Publication Date:

Authors : ;

Page : 837-843

Keywords : Customer Churn; Decision Tree; Data Mining; CRISP-DM.;

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Abstract

The current telecommunications industry is characterized by intense competition, where the issue of customer churn has become particularly pronounced, posing a significant obstacle to corporate development. This study utilizes customer data from a telecommunications company and employs a decision tree model to analyze customer churn. The results identify key factors influencing churn, such as customer tenure, monthly charges, and binding mechanisms e.g., contract type , providing a basis for enterprises to formulate customer retention strategies. Tan Xin | Shen Shixian | Guo Jiayi "Telecom Customer Churn Analysis Based on Decision Tree Model" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-9 | Issue-5 , October 2025, URL: https://www.ijtsrd.com/papers/ijtsrd97566.pdf Paper URL: https://www.ijtsrd.com/computer-science/data-miining/97566/telecom-customer-churn-analysis-based-on-decision-tree-model/tan-xin

Last modified: 2026-01-03 20:42:27