JSM Preliminary Online Program
This is the preliminary program for the 2008 Joint Statistical Meetings in Denver, Colorado.

The views expressed here are those of the individual authors
and not necessarily those of the ASA or its board, officers, or staff.


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Legend: = Applied Session, = Theme Session, = Presenter
Colorado Convention Center = “CC”, Hyatt = “HY”

CE_43T Wed, 8/6/08, 3:00 PM - 4:45 PM HY-Capitol Ballroom 7
Advances in Data Mining: Jerome Friedman's TreeNet/MART and Leo Breiman's Random Forests - Continuing Education - CTW
ASA
Instructor(s): Mikhail Golovnya, Salford Systems
This workshop will present Leo Breiman's Random Forests and Jerome Friedman's TreeNet/MART. Random Forests and MART/TreeNet are 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 predecessor through an error-correcting strategy. I will show how the software is used to solve real-world data mining problems, discuss theory and what is novel in the software, highlight implementation, compare the two methodologies, and show where the software fits in terms of other data mining software.
 

JSM 2008 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.
Revised September, 2008