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Paper Count: 30075
Churn Prediction: Does Technology Matter?
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.
Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1055859Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 2747
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