University of Minnesota
University Relations
http://www.umn.edu/urelate
612-624-6868

Minnesota Supercomputing Institute


Log out of MyMSI

Tutorial Details: Data Mining with SAS Enterprise Miner - Part 1

Date: Tuesday, November 11, 2008, 10:00 am - 11:30 am
Location: 402 Walter
Instructor(s): Haoyu Yu, MSI, Dr. Michael S. Steinbach,

Looking for techniques for prediction and pattern discovery? In Part 1 of this tutorial, we discuss some of the data mining capabilities provided by SAS Enterprise Miner that are applicable to a wide variety of application areas. After a brief introduction to data mining, we will cover decision trees for classification tasks, regression for quantitative prediction, and K-means clustering for data segmentation and reduction. We will also discuss ways to evaluate different approaches to a data mining problem.

This session of the tutorial, which will be webcast, will be followed by a hands-on session at the MSI SDVL lab in the afternoon.

Level: Intermediate
Prerequisites: Some experience in data analysis is required, SAS not req'd