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Generalized Churn Prediction

Saima Jan, Afaq Alam Khan

Abstract


Abstract: Customer churn evaluation and management are important to determine the loyalty of customers with the firm and thus to remain aware of each customer whether he will stay or leave the firm. This, in turn, will be used to determine the value of the firm and hence its place in the market. This paper includes existing literature which has been done in the field of churn analysis from time to time. It also provides a new methodology of churn prediction that will act as a general-purpose system for feature selection and hence can be used to evaluate churners of any firm.

Keywords: Churn prediction, customer retention, profitable customers, automatic attribute selector, data mining, classification

Cite this Article: Saima Jan, Afaq Alam Khan. Generalized Churn Prediction. Journal of Artificial Intelligence Research & Advances. 2019; 6(3): 19–24p.


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