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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27 November 2018
INTERNATIONAL CONFERENCE ON SUSTAINABLE ENGINEERING AND TECHNOLOGY (ICONSET 2018)
19–20 April 2018
Karnataka, India
Research Article|
November 27 2018
An exploration of customer churn prediction models of telecommunication orbit
Swetha P.;
Swetha P.
a)
1
Research Scholar, VTU, Dept of CSE, RajaRajeswari College of Engineering
, Bangalore, India
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AIP Conf. Proc. 2039, 020008 (2018)
Citation
Swetha P., Usha S.; An exploration of customer churn prediction models of telecommunication orbit. AIP Conf. Proc. 27 November 2018; 2039 (1): 020008. https://doi.org/10.1063/1.5078967
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