@article{(Open Science Index):https://publications.waset.org/pdf/1793, title = {Churn Prediction: Does Technology Matter?}, author = {John Hadden and Ashutosh Tiwari and Rajkumar Roy and Dymitr Ruta}, country = {}, institution = {}, abstract = {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.}, journal = {International Journal of Industrial and Manufacturing Engineering}, volume = {2}, number = {4}, year = {2008}, pages = {524 - 536}, ee = {https://publications.waset.org/pdf/1793}, url = {https://publications.waset.org/vol/16}, bibsource = {https://publications.waset.org/}, issn = {eISSN: 1307-6892}, publisher = {World Academy of Science, Engineering and Technology}, index = {Open Science Index 16, 2008}, }