Megha, T and Ancie, N and Chandrakala, C B (2019) Telecom Customer Churn Analysis. Journal of Advanced Research in Dynamical and Control Systems, 11 (4). pp. 1841-1847. ISSN 1943-023X

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Abstract

Increase in the number of network providers and their competition with each other in the market should achieve retention of customers which is very important for their growth and survival. Customer churn happens when subscribers stop doing business with a company or service. Customer churn is also known as customer attrition. Several data mining techniques have been proposed to analyze customer churn and they all give some results but which is better must be known. To some extent it is possible to predict the customer churn rate. This paper includes study of the techniques such as the Logistic Regression, Decision Tree and the k-means clustering. As per the analysis it is observed that the accuracy given by the Logistic regression is better than other

Item Type:	Article
Uncontrolled Keywords:	customer churn ,telecom ,data mining
Subjects:	Engineering > MIT Manipal > Information and Communication Technology
Depositing User:	MIT Library
Date Deposited:	18 Sep 2019 06:11
Last Modified:	18 Sep 2019 06:11
URI:	http://eprints.manipal.edu/id/eprint/154566

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