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Mobile Phone Customer Type Discrimination via Stochastic Gradient Boosting:
| Our Price: |
$30.00 US |
| Article #: |
ITJ3624 |
| Number of pages: |
32-53 pages |
| Source: |
International Journal of Data Warehousing and Mining, Vol. 3, Issue 2 |
| Author(s): |
Steinberg, Dan; Golovnya, Mikhaylo; Cardell, Nicholas Scott |
| Affiliation(s): |
Salford Systems, USA; Salford Systems, USA; Salford Systems, USA |
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Description
Mobile phone customers face many choices regarding handset hardware, add-on services, and features to subscribe to from their service providers. Mobile phone companies are now increas-ingly interested in the drivers of migration to third generation (3G) hardware and services. Using real world data provided to the 10th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD) 2006 Data Mining Competition we explore the effectiveness of Friedman’s stochastic gradient boosting (Multiple Additive Regression Trees [MART]) for the rapid development of a high performance predictive model. |
