Application of data mining in predicting cell phones subscribers behavior employing the contact pattern

Mansouri, R, Saraee, MH ORCID: https://orcid.org/0000-0002-3283-1912 and Amirfattahi, R 2010, Application of data mining in predicting cell phones subscribers behavior employing the contact pattern , in: DSDE, 9-10 February 2010, Bangalore, India.

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Abstract

As telecommunication services becoming competitive, client contract management in this sector has become importance as well. In regards to the fact that a huge volume of telecommunication data especially details of the cell phone conversations exist, and they are practically not used, employment of data mining techniques on such data lead to exploring the hidden knowledge in them on the subscriber's behavior and lead s to predicting their behavior. Therefore, data mining is one of the most crucial methods of scientific management effective on contact with client increased profitability and client satisfaction. In this paper, using details of the phone cell conversations during two periods (one with no rival and the second one with rival) and the employing details of conversations of the third period for identifying subscribes suffering churn, it has attempted, regarding the pattern of client to predict their churn.

Item Type:	Conference or Workshop Item (Paper)
Themes:	Media, Digital Technology and the Creative Economy
Schools:	Schools > School of Computing, Science and Engineering > Salford Innovation Research Centre
Journal or Publication Title:	Proceedings of the International Conference on Data Storage and Data Engineering, DSDE 2010, Bangalore, India, 9-10 February 2010
Publisher:	IEEE Computer Society
Refereed:	Yes
Related URLs:	Organisation
Depositing User:	Prof. Mo Saraee
Date Deposited:	26 Oct 2011 12:34
Last Modified:	16 Feb 2022 13:19
URI:	http://usir.salford.ac.uk/id/eprint/18674

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