%0 Journal Article
	%A John Hadden and  Ashutosh Tiwari and  Rajkumar Roy and  Dymitr Ruta
	%D 2008
	%J International Journal of Industrial and Manufacturing Engineering
	%B World Academy of Science, Engineering and Technology
	%I Open Science Index 16, 2008
	%T Churn Prediction: Does Technology Matter?
	%U https://publications.waset.org/pdf/1793
	%V 16
	%X The aim of this paper is to identify the most suitable
model for churn prediction based on three different techniques. The
paper identifies the variables that affect churn in reverence of
customer complaints data and provides a comparative analysis of
neural networks, regression trees and regression in their capabilities
of predicting customer churn.
	%P 524 - 536