Analysis of customer churn prediction in telecom industry using decision trees and logistic regression

@article{Dalvi2016AnalysisOC,
  title={Analysis of customer churn prediction in telecom industry using decision trees and logistic regression},
  author={Preeti K. Dalvi and Siddhi Khandge and Ashish Deomore and Aditya Bankar and Vijay A. Kanade},
  journal={2016 Symposium on Colossal Data Analysis and Networking (CDAN)},
  year={2016},
  pages={1-4}
}
Customer churn prediction in Telecom industry is one of the most prominent research topics in recent years. It consists of detecting customers who are likely to cancel a subscription to a service. Recently, the mobile telecommunication market has changed from a rapidly growing market into a state of saturation and fierce competition. The focus of telecommunication companies has therefore shifted from building a large customer base into keeping customers in house. For that reason, it is valuable… CONTINUE READING

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