SAS M2004
Speakers Speakers Abstracts Logistics Registration Info Agenda Training Sponsors www.sas.com
M2005

In addition to the 2-day conference, M2005 also offers the latest technical training in the industry. Data mining training immediately follows the conference from October 20-22, 2004. Five conference training courses will be offered at M2005. Training runs from 9:00 a.m. until 4:00 or 5:00 p.m. each scheduled day. You can choose from the following course options:

Advanced Predictive Modeling Using SAS Enterprise Miner 5
(This is a 2-day course offered Wednesday-Thursday, October 20-21.)
View outline

Data Mining Techniques
(This is a 3-day course offered Wednesday-Friday, October 20-22.)
View outline

Extending SAS Enterprise Miner 5
(This is a 1-day course offered either Wednesday, October 20 or Friday, October 22.)
View outline

Mining Textual Data Using SAS Text Miner for SAS 9
(This is a 2-day course offered Thursday-Friday, October 21-22.)
View outline

Predictive Modeling Using SAS Enterprise Miner 5
(This is a 3-day course offered Wednesday-Friday, October 20-22.)
View outline

 


Search | Contact Us | Terms of Use & Legal Information | Privacy Statement
Copyright © 2004 SAS Institute Inc. All Rights Reserved.

What participants say about the M-series:

"The educational content, exchange of ideas, and intellectual environment I found at the conference exceeded my expectations and confirmed SAS' place as the premier data mining conference in the world."

Thad Perry, Ph.D.
Senior Director of Infomatics

"SAS is doing a tremendous service for the data mining community. The conference provides an excellent forum for exchanging ideas and best practices in business and a stage for sharing the latest and best academic research in the field."

Jaideep Srivastava
Professor of Computer Science and Engineering
University of Minnesota

"This was a superb environment - one of the smartest conference venues I have experienced (and I have experienced a lot). The talks went into greater depth than the talks at many such meetings. Many of the talks were particularly valuable in shedding light on different application areas of data mining."

David Hand
Professor and Head of Statistics
Imperial College, London

"This conference is definitely a must. Not only for the information, but for the opportunity it provides to exchange ideas and learn from your colleagues."

Daryl Berry
T-Mobile US

"The information I got from the presentations was great, and it was nice to talk to and exchange experiences with professionals who are pretty much doing the same thing."

Victor Alonso
Zurich Insurance Co

"What really impressed me was the sense of community that normally isn't present at conferences of this size."

Brij Masand
Data Miners

"The conference has opened a whole new world for me."

Rachel Alt-Simmons
Hartford Life Insurance