Abstract
This paper represents that Churn Prediction has been major research problem with the growth of market development as customer’s asset more valuable persons for growth of company. The task of churn prediction is to identify the customers who are pretending to shift from one company to another. As in the competitive environment, it becomes necessary to focus on retaining churn customers as well as attracting new customers. The overall objective of this paper is to compare the various algorithms of Data Mining have been used for making distinguish between customers into loyal and churn, so that appropriate steps can be taken into consideration in order to retain the churn customers to the company as customers are more valuable to the survival and development of the company. Keywords:
Cite
CITATION STYLE
Riddhima Rikhi Sharma, & Rajan Sachdeva. (2017). Review on Prediction of Churn Customer Behavior. International Journal of Engineering Research And, V6(01). https://doi.org/10.17577/ijertv6is010116
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