Customer Churn Analysis for Telecom Operators Based on SVM

被引：1

作者：

Dong, Runsha ^{[1
]}

Su, Fei ^{[1
]}

Yang, Shan ^{[1
]}

Cheng, Xinzhou ^{[1
]}

Chen, Weiwei ^{[1
]}

机构：

[1] China Unicom Network Technol Res Inst, Beijing, Peoples R China

来源：

SIGNAL AND INFORMATION PROCESSING, NETWORKING AND COMPUTERS | 2018年 / 473卷

关键词：

Customer churn; Telecom operators; SVM;

D O I：

10.1007/978-981-10-7521-6_39

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Customer churn prediction is important for telecom operators to retain valuable users. Accurate features that can characterize customer behaviors, as well as efficient extraction method are key factors in constructing the customer churn analysis model. In literature, Support Vector Machine (SVM) has shown its applicability to the problem of customer churn analysis. This paper identifies the main features that influence the customer churn model from telecom experts' viewpoints, and proposes a suitable one based on Support Vector Machine (SVM). An experimental results also is illustrated to verify reasonableness of the proposed models.

引用

页码：327 / 333

页数：7

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