电信企业客户流失预测的机器学习方法研究

Proceedings of the 21st International Conference on Information Integration and Web-based Applications & Services Pub Date : 2019-12-02 DOI:10.1145/3366030.3366109

Anna Śniegula, A. Poniszewska-Marańda, M. Popović

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引用次数: 5

摘要

本文介绍了哪种机器学习技术最适合客户流失预测的调查结果。比较了不同的方法，从简单的K-means方法开始，经过决策树，最后以人工神经网络结束。作者用每种方法训练模型，并预测客户是否会离开当前的电信公司。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Study of machine learning methods for customer churn prediction in telecommunication company

The paper presents the results of investigation which machine learning techniques are most suited for customer churn prediction. Different approaches were compared, starting from the simple K-means method, through decision trees, ending with the artificial neural network. The authors trained the models with each method and predicted whether a customer is going to leave the current telecommunication company.

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Proceedings of the 21st International Conference on Information Integration and Web-based Applications & Services

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