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CPM-Churn Prediction Model for Social Networks

Author

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  • Jai Ganesh V
  • Akoramurthy B

Abstract

Churn Prediction is very common task in data analytics. It basically consists in trying to predict those customers that are going to quit the contract. In current days, Churn had become the main aspect for social network providers. Based on the history of the customers search patterns and the activities, there is chance to find either they will leave or not. Data mining techniques are found to be more effective in churn prediction to analyze the customer behavior. The comparative study of customer behavioral result in different social networks will predict the churners effectively.

Suggested Citation

  • Jai Ganesh V & Akoramurthy B, 2017. "CPM-Churn Prediction Model for Social Networks," International Journal of Scientific Research in Computer Science, Engineering and Information Technology, International Journal of Scientific Research in Computer Science, Engineering and Information Technology, vol. 2(2), pages 394-398, April.
    • Handle: RePEc:jbh:ijsrcs:v2:y2017:i2:id:hcseit1722122
    Note: Article URL: https://ijsrcseit.com/CSEIT1722122
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