Publication Type : Conference Paper
Publisher : 2019 3rd International Conference on Trends in Electronics and Informatics (ICOEI)
Source : 2019 3rd International Conference on Trends in Electronics and Informatics (ICOEI) (2019)
Campus : Bengaluru
School : Department of Computer Science and Engineering, School of Engineering
Department : Computer Science
Year : 2019
Abstract : In this contemporary world of business, Customer Churn is emerging as one of the major concerns for various business organizations. Loss of customer will not only result in profit or loss but also develops the threat for overall business operations. Recently, the telecommunication companies are facing significant challenges due to the wide number of enthusiastic and competitive service providers. Therefore, it becomes very hard to retain the existing customers. In this paper, we have implemented an Exploratory Data analysis using Visualization, statistical tests for feature selection and Data mining methods for predicting the likely churners by utilizing a Logistic Regression Model.
Cite this Research Publication : B. N. K. Sai and Sasikala T, “Predictive Analysis and Modeling of Customer Churn in Telecom using Machine Learning Technique”, in 2019 3rd International Conference on Trends in Electronics and Informatics (ICOEI), 2019.