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Classification of 3G Mobile Phone Customers

Classification of 3G Mobile Phone Customers

Ankur Jain, Lalit Wangikar, Martin Ahrens, Ranjan Rao, Suddha Sattwa Kundu, Sutirtha Ghosh
Copyright: © 2009 |Pages: 9
ISBN13: 9781605660547|ISBN10: 160566054X|EISBN13: 9781605660554
DOI: 10.4018/978-1-60566-054-7.ch216
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MLA

Jain, Ankur, et al. "Classification of 3G Mobile Phone Customers." Mobile Computing: Concepts, Methodologies, Tools, and Applications, edited by David Taniar, IGI Global, 2009, pp. 2862-2870. https://doi.org/10.4018/978-1-60566-054-7.ch216

APA

Jain, A., Wangikar, L., Ahrens, M., Rao, R., Kundu, S. S., & Ghosh, S. (2009). Classification of 3G Mobile Phone Customers. In D. Taniar (Ed.), Mobile Computing: Concepts, Methodologies, Tools, and Applications (pp. 2862-2870). IGI Global. https://doi.org/10.4018/978-1-60566-054-7.ch216

Chicago

Jain, Ankur, et al. "Classification of 3G Mobile Phone Customers." In Mobile Computing: Concepts, Methodologies, Tools, and Applications, edited by David Taniar, 2862-2870. Hershey, PA: IGI Global, 2009. https://doi.org/10.4018/978-1-60566-054-7.ch216

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Abstract

In this article we discuss how we have predicted the third generation (3G) customers using logistic 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

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