Churn Forecast Based on Two-step Classification in Security Industry

Ying  Li; Ziyang  Deng; Qiang  Qian; Rui  Xu

doi:10.4236/iim.2011.34019

Ying Li, Ziyang Deng^*, Qiang Qian, Rui Xu

Abstract: Customer is a determinant factor that decides whether a security company will be alive. As a result, the competition for customers is more and more intense between security companies. In order to avoid profit decrease caused by churn, security companies must find those customers who have the loss risk and make measures to maintain loyal customers. Now it is the question that how to find and analyze those customers. In this paper, a two-step classification method about churn Analysis is proposed and the problem of churn in security is analyzed.

Keywords: Customer Segmentation, Churn, Self-Organize Map Neural Network, Decision Tree

Cite this paper: nullY. Li, Z. Deng, Q. Qian and R. Xu, "Churn Forecast Based on Two-step Classification in Security Industry," Intelligent Information Management, Vol. 3 No. 4, 2011, pp. 160-165. doi: 10.4236/iim.2011.34019.

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