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This is the preliminary program for the 2009 Joint Statistical
Meetings in Washington, DC.
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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 2009 Program page |
= Applied Session,
= Theme Session,
= Presenter| CE_39T | Wed, 8/5/09, 3:00 PM - 4:45 PM | RH-Meeting Room 15 |
| Advances in Data Mining: Jerome Friedman's TreeNet/MARS and Leo Breiman's Random Forests - Continuing Education - CTW | ||
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ASA |
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| Instructor(s): Mikhail Golovnya, Salford Systems | ||
| This workshop 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 that 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 gradually through a potentially large collection of small trees, each of which improves on its predecessors through an error-correcting strategy. I will show how the software is used to solve real-world data mining problems, cover theory and discuss what is novel about the software, cover implementation, compare the methodologies, and show where the software fits in terms of other data mining software. | ||
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JSM 2009
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. |