WORLDCOMP'08 Tutorial: Mr. Mikhail Golovnya

A Tour of Advanced Data Mining Methodologies Mr. Mikhail Golovnya Senior Scientist, Salford Systems, USA Date: July 15, 2008 Time: 6:00 - 9:30 PM Location: Ballroom 1

Abstract



Mr. Mikhail Golovnya, Senior Scientist, will discuss the classic CART (classification and regression trees) technique, as well as advanced data mining techniques recently developed by Stanford University Professor Jerome Friedman and University of California Professor Emeritus Leo Breiman. Methodologies and real-world applications will be presented for the following:


• CART, the classic decision tree
• MARS (multivariate adaptive regression splines), a flexible, highly automated regression technique
• TreeNet and RandomForests, which leverage the predictive power of CART models by combining a large number of trees together using either boosting or bootstrap aggregation approaches.

Objectives



To provide an introduction to and overview of Data Mining Analysis and to provide practical examples to assist attendees in conducting their own analyses.


Intended Audience



• Instructors wishing to learn more about data mining so they can include some coverage in their classes;
• Applied Statisticians wanting to learn new tools for exploratory and non-parametric data analysis; and,
• Researchers who have previously worked with data mining and have been mystified by earlier versions of the documentation and output.

Biography of Instructor



Mikhail Golovnya graduated from Kharkov State Polytechnic University, Ukraine in 1995 with a Specialist Engineering Degree in Flight Dynamics and Space Shuttle Control. In 1996, he was a Research Scholar in Econometrics and Finance at Saint Norbert College, Wisconsin. Mr. Golovnya later joined the Master of Science in Computation Statistics program at the University of Central Florida, Orlando from which he graduated with honors in fall of 2000. Mr. Golovnya began his work with Salford Systems in the summer of 1999. As the Senior Scientist, he is primarily responsible for data mining consultation projects and works in model development and the search for technological improvements to Salford’s core products. He is also responsible for advanced testing of CART, MARS, TreeNet, PRIM, Random Forests, and prototyping of new data mining algorithms and modeling automation. Mr. Golovnya also leads training sessions in CART, MARS, TreeNet, and Random Forests and provides guidance and technical support to Salford Systems’ data mining clients.