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Applying data Mining to Insurance Customer churn management Reza Allahyari Soeini 1+ and Keyvan Vahidy Rodpysh 2 1 Industrial Development &Renovation organization of Iran-Tehran, Iran 2 Department of e-commerce, Nooretouba University, Tehran, Iran Abstract. According to competition in Insurance industry in Iran in recent years and entrance of private sector, keeping customers has become more important for insurer companies and reasons of churning is challenging. Thus in this research, data Mining methods is used for Customer churn management (CCM). In first step, customers with equal characteristics were selected by clustering K-means method and in the second step, using churn index and decision tree CART, reasons of Customer churn were analyzed. data Mining process was done by Clementine software on set of data gathered from seven Iran Insurance branches in Anzali as population size.
Applying Data Mining to Insurance Customer Churn Management Reza Allahyari Soeini 1+ and Keyvan Vahidy Rodpysh 2 1 Industrial Development &Renovation organization of Iran-Tehran, Iran
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