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CUSTOMER CHURN ANALYSIS WITH BACK-PROPAGATION NEURAL NETWORK: CASE INTERNET SERVICE PROVIDER XYZ
2016
International Journal of Research in Engineering and Technology
Number of Internet users worldwide is likely to increase exponentially. It is an opportunity for companies that specialize in Internet Service Provider (ISP). An ISP in Surabaya, ISP xyz, their customers do churn each month. Customer churn bring loss in revenue for the company. ISP xyz want to know the prediction when the customer will do churn and the factors that affect customer churn. In this paper, customer churn analysis in Interne service provider company use data mining technique with
doi:10.15623/ijret.2016.0512027
fatcat:ehgkl3p5f5h6rbtj2sori2q3wm