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Classification Of 3G Mobile Phone Customers:
| Our Price: |
$30.00 US |
| Article #: |
ITJ3623 |
| Number of pages: |
22-31 pages |
| Source: |
International Journal of Data Warehousing and Mining, Vol. 3, Issue 2 |
| Author(s): |
Jain, Ankur; Wangikar, Lalit; Ahrens, Martin; Rao, Ranjan; Kundu, Suddha Sattwa; Ghosh, Sutirtha |
| Affiliation(s): |
Inductis India Pvt. Ltd., India; Inductis India Pvt. Ltd., India; Inductis India Pvt. Ltd., India; Inductis India Pvt. Ltd., India; Inductis India Pvt. Ltd., India; Inductis India Pvt. Ltd., India |
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Description
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. |
