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Classification Of 3G Mobile Phone Customers

Author

Listed:
  • Ankur Jain

    (Inductis India Pvt. Ltd., India)

  • Lalit Wangikar

    (Inductis India Pvt. Ltd., India)

  • Martin Ahrens

    (Inductis India Pvt. Ltd., India)

  • Ranjan Rao

    (Inductis India Pvt. Ltd., India)

  • Suddha Sattwa Kundu

    (Inductis India Pvt. Ltd., India)

  • Sutirtha Ghosh

    (Inductis India Pvt. Ltd., India)

Abstract

In this article we discuss how we have predicted the third generation (3G) customers using lo-gistic regression analysis and statistical tools like Classification and Regression Tree (CART), Multivariate Adaptive Regression Splines (MARS), and other variables derived from the raw variables. The basic idea reflected in this paper is that the performance of logistic regression using raw variables standalone can be improved upon, by the use for various functions of the raw variables and dummies representing potential segments of the population.

Suggested Citation

  • Ankur Jain & Lalit Wangikar & Martin Ahrens & Ranjan Rao & Suddha Sattwa Kundu & Sutirtha Ghosh, 2007. "Classification Of 3G Mobile Phone Customers," International Journal of Data Warehousing and Mining (IJDWM), IGI Global, vol. 3(2), pages 22-31, April.
    • Handle: RePEc:igg:jdwm00:v:3:y:2007:i:2:p:22-31
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