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

Mansouri, R, Saraee, M 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: Colleges and Schools > College of Science & Technology > School of Computing, Science and Engineering > Data Mining and Pattern Recognition 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:
    Depositing User: Dr Mo Saraee
    Date Deposited: 26 Oct 2011 13:34
    Last Modified: 20 Aug 2013 18:16
    URI: http://usir.salford.ac.uk/id/eprint/18674

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