Meetings

On October 1-2 at Caesar's Palace in Las Vegas, the most respected thought leaders in data mining will again join hundreds of data mining practitioners for M2007, SAS' tenth annual data mining conference. The conference will feature six keynote addresses and more than 30 session talks in multiple tracks.

With more than 700 expected attendees, SAS' annual data mining conference has become the world's largest conference for data mining professionals. The conference attracts practitioners and decision makers from a variety of industries with a common goal: to learn the latest data mining theories, trends and best practices.

Still not convinced you need to be there, consider....

The Top 5 Reasons Why You Should Attend M2007, SAS' Data Mining Conference

1. It's our 10th Anniversary which means we have 10 solid years of experience delivering the best educational content in the field of data mining through speakers, training, networking opportunities and more.  In celebration of our 10th anniversary, we've moved to the Las Vegas strip!  You'll love our new location -- Caesar's Palace.  View conference Web site.
2. Take home the knowledge to make a difference.  Leave M2007 with new insights from industry visionaries, new skills in data mining best practices, knowledge of cutting-edge tools and techniques, and a network of valuable contacts.  M2007 is the largest data mining conference in the world -- learn unique information you won't get anywhere else.  View speakers. View abstracts.
3. Get Certified.  Take the exam to become a SAS Certified Predictive Modeler and get the recognition you deserve.  Set yourself apart from the competition and enhance your credibility as a SAS technical professional.  Learn more...
4. Present to your peers.  The M2007 Call for Posters is now open.  Submit an abstract for a chance to be recognized by the data mining community for the innovative work you've done in the field.  Posters will be displayed in the Exhibit Hall throughout the conference.  Register today, submission deadline is August 3, 2007.  Learn more...
5. Experience hands-on training.  Take advantage of pre- and post-conference training opportunities to learn the latest in data mining techniques using SAS software.  A variety of courses are offered for all levels.  Learn more...

Ready to sign up?

Visit our Web site and register today!

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