CPM-Churn Prediction Model for Social Networks

Authors(2) :-Jai Ganesh V, Akoramurthy B

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.

Authors and Affiliations

Jai Ganesh V
Computer Science and Engineering, IFET College of Engineerimg, Villupuram, Tamil Nadu, India
Akoramurthy B
Computer Science and Engineering, IFET College of Engineerimg, Villupuram, Tamil Nadu, India

Churn prediction model, Social Networks, R.

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Publication Details

Published in : Volume 2 | Issue 2 | March-April 2017
Date of Publication : 2017-04-30
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 394-398
Manuscript Number : CSEIT1722122
Publisher : Technoscience Academy

ISSN : 2456-3307

Cite This Article :

Jai Ganesh V, Akoramurthy B, "CPM-Churn Prediction Model for Social Networks", International Journal of Scientific Research in Computer Science, Engineering and Information Technology (IJSRCSEIT), ISSN : 2456-3307, Volume 2, Issue 2, pp.394-398, March-April-2017.
Journal URL : http://ijsrcseit.com/CSEIT1722122

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