An exploration of Customer Churn prediction models of Telecommunication Orbit

被引：0
|
作者：
Swetha, P. [1 ]
Usha, S. [2 ]
机构：
[1] RajaRajeswari Coll Engn, Dept CSE, VTU, Bangalore, Karnataka, India
[2] RajaRajeswari Coll Engn, Dept CSE, Bangalore, Karnataka, India
来源：
INTERNATIONAL CONFERENCE ON SUSTAINABLE ENGINEERING AND TECHNOLOGY (ICONSET 2018) | 2018年 / 2039卷
关键词：
Customer Relationship Management (CRM); Customer Churn Prediction (CCP); Receiver Operating Characteristic (ROC); Area Under Curve (AUC); Fuzzy Classification Technique (FACT);
D O I：
10.1063/1.5078967
中图分类号：
X [环境科学、安全科学];
学科分类号：
08 ; 0830 ;
摘要：
Research in the field of Telecommunication is dynamic and continuously working towards the social community of the people. Among that predicting the customer's who likes to switch from the current network provider is the most important part of telecom industry. However, there are a lot of research has done on this topic, but still more improvements and advancements are expected. In this position paper, we put forward the comparison model of different churn mining methods that intends to help in predicting the customer churn rate in a better way. This paper provides a benchmark of various mining algorithms and its methods for prediction of customer churn rate, which makes the telecommunication industry to setup the retention policies with the increase of their profit.
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页数：4
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