|
|
|
This is the preliminary program for the 2006 Joint Statistical
Meetings in Seattle, Washington.
|
|
|
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_34T | Wed, 8/9/06, 10:30 AM - 12:15 PM | CC-305 |
| Introduction to CART: Data Mining with Decision Trees - Continuing Education - CTW | ||
|
The ASA |
||
| Instructor(s): Mikhail Golovnya, Salford Systems | ||
| This course is intended for the applied statistician wanting to understand and apply the CART methodology for tree-structured, nonparametric data analysis. The emphasis is on practical data analysis involving classification. All concepts will be illustrated using real-world examples. The course will begin with an intuitive introduction to tree-structured analysis---what it is, why it works, and why it is nonparametric and model-free. Working through examples, we will review how to read CART output and set up basic analyses. The course will include performance evaluation of CART trees and cover ways to search for possible improvements of the results. Once a basic working knowledge of CART has been mastered, the course will focus on critical details essential for advanced CART applications, including choice of splitting criteria, choosing the best split, using prior probabilities to shape results, refining results with differential misclassification costs, the meaning of cross validation, tree growing, and tree pruning. The course will conclude with discussion of the comparative performance of CART versus other computer-intensive methods, such as artificial neural networks and statistician-generated parametric models. The course is intended for anyone with experience with statistical modeling or data mining. | ||
|
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. |