Classification Of 3G Mobile Phone Customers

Ankur Jain, Lalit Wangikar, Martin Ahrens, Ranjan Rao, Suddha Sattwa Kundu and Sutirtha Ghosh
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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

International Journal of Data Warehousing and Mining (IJDWM), 2007, vol. 3, issue 2, 22-31

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.

Date: 2007
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