Instant Insight: Interactive and Visual Data Mining with JMP®
Data mining is the exploration and analysis of large data sets, by automatic or semiautomatic means, with the purpose of discovering meaningful patterns. These patterns, or rules, are then used for decision making via a process known as knowledge discovery. Much of exploratory data analysis and inferential statistics concern the same problems. What's different about data mining? What's similar? We will attempt to answer these questions by looking at a series of case studies using the tools typically found in the data miner’s toolbox.
In the process of analyzing the data sets, attendees will learn how to:
- Identify appropriate problems for data mining
- Learn how to explore and prepare data for mining
- Use a variety of techniques including decision trees and neural networks to build accurate predictive models
- Evaluate the quality of data mining models
- Select the appropriate data mining tools for a variety of applications
JMP® for Data Visualization
Instead of being stuck with static spreadsheets that can help only with simple queries and communicating snippets of information, JMP enables you to interact with your data – all of it – to explore relationships, see where trends take you, dig into areas that interest you, and even be led in new directions that you hadn’t yet considered.
JMP® can be used as a standalone desktop program or as a piece of the SAS® Intelligence Platform.
Agenda*
| Time | Event | |
|---|---|---|
| 8:00 am | Registration and Continental Breakfast | Register |
| 8:30 am | Introduction to JMP Jami Hampton, JMP |
|
| 9:00 am | Featured Presentation: Successful Data Mining in Practice Richard De Veaux, Williams College |
|
| 10:15 am | Break | |
| 10:30 am | Featured Presentation Continued | |
| Noon | Networking Lunch | |
| 1:00 pm | Getting Started with JMP 7 Jami Hampton, JMP |
|
| 1:30 pm | SAS and JMP Integration Jon Weisz |
|
| 2:00 pm | Design of Experiments to Improve Response Rates for Direct Marketing Bradley Jones, JMP |
|
| 3:00 pm | Q & A and adjourn |
* Agenda subject to change without notice.
Featured Speaker
Dr. Richard D. De Veaux
Department of Mathematics and Statistics, Williams College
Audio Interview
Listen to a brief audio interview with Dick De Veaux as he discusses visual data mining (5.6 MB, 4:54).
Register Today
Date: Tuesday, August 28, 2007
Time: 8:00am - 3:00pm
(Lunch included)
Cost: FREE
Location: InterContinental Dallas
15201 Dallas Parkway
Addison, TX 75001
