Churn Prediction

  title={Churn Prediction},
  author={Vladislav Lazarov and Marius Capota},
  • Vladislav Lazarov, Marius Capota
  • Published 2007
The rapid growth of the market in every sector is leading to a bigger subscriber base for service providers. More competitors, new and innovative business models and better services are increasing the cost of customer acquisition. In this environment service providers have realized the importance of the retention of existing customers. Therefore, providers are forced to put more efforts for prediction and prevention of churn. This paper aims to present commonly used data mining techniques for… CONTINUE READING

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