Front Inner Page - Volume 1 No.2 October 2014

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  • Title

    :

    SUPERVISED LEARNING BASED CHUR PREDICTION ANALYSIS IN CELLULAR COMMUNICATION SECTOR

    Authors

    :

    B. Jagadhesan 1, S. Balaji.S Phd 2 and J. SenthilKumar Phd3

    Keywords

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    Churn, Data mining, Supervised, Regression, Neural Networks and Rule Based Learning

    Issue Date

    :

    October – 2014

    Abstract

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    Churn is a biggest threat for the company which is important to manage in particular to industries forced by strong competition and saturated markets such as cellular telecommunication industry. The customers of cellular network are of either pre-paid or post-paid nature. Postpaid customers are bounded by contract where as prepaid subscribers are not bound by a contract, therefore, they can churn at their convenience .The process of predicting the nature and time of churn is a difficult task. This paper aims to churn prediction analysis in cellular communication sector using supervised data mining techniques. The possible churners can be identified with the patterns generated as a result of techniques such as rule based learning, neural networks, decision trees and regression analysis. Finally, the present state of research and novel emerging algorithms are discussed.

    Page(s)

    :

    1-3

    ISSN

    :

    2347- 4734

    Source

    :

    Vol. 1, No.2, October 2014

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