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: 2025-10-04
Authors : Tan Xin Shen Shixian Guo Jiayi;
Page : 837-843
Keywords : Customer Churn; Decision Tree; Data Mining; CRISP-DM.;
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
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