A big data analytics model for customer churn prediction in the retiree segment

作者：

Highlights：

• Utilizing big data analytics we offered an efficient framework to predict churning decisions.

• Hadoop ecosystem integrated with BI platform allows us to uncover a wealth of data and information.

• We offered an improved Churn Prediction Model using CRT decision tree with big data analytics.

摘要

•Utilizing big data analytics we offered an efficient framework to predict churning decisions.•Hadoop ecosystem integrated with BI platform allows us to uncover a wealth of data and information.•We offered an improved Churn Prediction Model using CRT decision tree with big data analytics.

论文关键词：Big data,Business intelligence,Churn prediction model,Hadoop,Customer lifetime value,Classification,Regression tree

论文评审过程：Received 12 February 2018, Revised 6 October 2018, Accepted 8 October 2018, Available online 17 October 2018, Version of Record 14 August 2019.

论文官网地址：https://doi.org/10.1016/j.ijinfomgt.2018.10.005