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This is the preliminary program for the 2006 Joint Statistical
Meetings in Seattle, Washington.
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The views expressed here are those of the individual authors and not necessarily those of the ASA or its board, officers, or staff. Back to main JSM 2006 Program page |
= Applied Session,
= Theme Session,
= Presenter, Sheraton Seattle Hotel & Towers = “S”| CE_37T | Wed, 8/9/06, 2:00 PM - 3:45 PM | CC-305 |
| Advances in Data Mining: Jerome Friedman's TreeNet/MART and Leo Breiman's Random Forests - Continuing Education - CTW | ||
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The ASA |
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| Instructor(s): Mikhail Golovnya, Salford Systems | ||
| This course will present Leo Breiman's Random Forests and Jerome Friedman's TreeNet/MART (also known as TreeNet Stochastic Gradient Boosting). Random Forests and MART/TreeNet are new advances to classification and regression tree software, which enable the modeler to construct predictive models of extraordinary accuracy. Random Forest is a tree-based procedure that makes use of bootstrapping and random feature generation. In TreeNet, classification and regression models are built up gradually through a potentially large collection of small trees, each of which improves on its predecessors through an error-correcting strategy. This course will show how the software is used in solving real-world data mining problems, cover theory and discuss what is novel in the software, cover implementation, compare and contrast the two methodologies, and show where the software fits in terms of other data mining software. While the course will be most valuable for those already familiar with decision trees, it is intended to be accessible to anyone with experience with regression modeling or data mining. | ||
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JSM 2006
For information, contact jsm@amstat.org
or phone (888) 231-3473. If you have questions about the Continuing Education program,
please contact the Education Department. |