• Corpus ID: 55354126

Evalu ations of Data Mining Methods in Order to Provide the Optimum Method for Customer Churn Prediction: Case Study Insurance Industry

@inproceedings{Soeini2012EvaluAO,
  title={Evalu ations of Data Mining Methods in Order to Provide the Optimum Method for Customer Churn Prediction: Case Study Insurance Industry},
  author={Reza Allahyari Soeini and Keyvan Vahidy Rodpysh},
  year={2012}
}
C ompetitive advantage for survival and maintenance of the old companies to new companies need to identify accurately understand behavior customers. So many different ways for organizations to predict the company's customers churn. The most common methods of predicting customer churn, data mining methods. Data mining methods to determine the optimal method of prediction is of special importance. So in this article using Clementine software and the database contains 300 records of customers Iran… 

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