This is the program for the 2010 Joint Statistical Meetings in Vancouver, British Columbia.

Activity Details

CE_34T Wed, 8/4/2010, 1:00 PM - 2:45 PM CC-1 (East)
Advances in Data Mining: Jerome Friedman's TreeNet/MART and Leo Breiman's Random Forests — Continuing Education CTW
ASA , Salford Systems
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, 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 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 in the software, cover implementation, compare the two methodologies, and show where the software fits in terms of other data mining software.

2010 JSM Online Program Home

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If you have questions about the Continuing Education program, please contact the Education Department.