Predictive Analytics World, Feb 16-17, San Francisco - KDnuggets Special Offer

Special KDnuggets Readers Offer - get the expired Early Bird rate for Predictive Analytics San Francisco! Agenda covers hot topics and advanced methods such as social data, uplift modeling (net lift), text mining, massively parallel analytics, in-cloud deployment, and innovative applications that benefit organizations in new and creative ways.

Predictive Analytics World - February 16-17, 2010 - San Francisco

Special KDnuggets Reader Offer - Secure the Expired Early Bird this Week!

Time officially ran out on the opportunity to save $200 off the price of Predictive Analytics World last Friday, but we're extending that offer for one week to KDnuggets readers (use code KDN2010 when registering). And you still have a chance to bring a team member - if they are from the same company as you, they'll not only get the early bird discount of $200, they'll get an additional $200 off.

At Predictive Analytics World we like to drill deep into concrete examples of deployed predictive analytics. February's agenda covers hot topics and advanced methods such as social data, uplift modeling (net lift), text mining, massively parallel analytics, in-cloud deployment, and innovative applications that benefit organizations in new and creative ways. The program is packed with the top predictive analytics experts, practitioners, authors and business thought leaders, including keynote speakers:

Kim Larsen
Director Advanced Analytics
Charles Schwab & Co.

Andreas S. Weigend, Ph.D.
Former Chief Scientist
Amazon.com

Eric Siegel, Ph.D.
Conference Chair
PAW

Further highlights of the February program include:

Social Data

1-800 Flowers: Leveraging Social Media Data to Manage Fraud Risk
Leading North American Telecom: The Social Effect: Predicting Telecom Customer Churn with Call Data

Uplift Modeling

Charles Schwab & Co: Response Modeling is the Wrong Modeling: Maximize Impact With Net Lift Modeling

Massively Parallel Analytics

Google: Massively Parallel Learning of Tree Ensembles to Predict Ad Quality

In-Cloud Deployment

In-database Vs. In-cloud Analytics: Implications for Deployment

Text Mining

Text Mining: Lessons Learned - John Elder, Ph.D., Elder Research, Inc.
Fortune 500 global technology company: Rules Rule: Inductive Business-Rule Discovery in Text Mining

Innovative Applications

Eureka! Seven Innovative Applications of Predictive Analytics, Eric Siegel, Ph.D., Conference Chair
Younoodle: The Mathematics of Innovation: Predicting Startup Success
Visa: Building 10,000 Predictive Models: Scaling Health & Status Models to Large, Complex Systems
Continental Airlines and PASSUR Aerospace: Predicting the Health of Air Traffic Systems
U.S. Army, and a large commercial satellite company: Reliability Analytics: Predicting Equipment Failure

Cross-Sell & Recommendations

PayPal (eBay): Next Best Product Model: How to optimize on probability as well as profitability
AT&T: Market Simulation in the Telecommunications Sector
Sun Microsystems: Time-Purchasing Analytics and Next-Logical Predictions: Lessons from the High-Tech B2B World

Plus leading edge workshops:

Workshops - In-depth, Practical and Hands-on

John Elder The Best and the Worst of Predictive Analytics: Predictive Modeling Methods and Common Data Mining Mistakes
Instructor: John F. Elder, Ph.D., CEO and Founder, Elder Research, Inc.

Hands-On Predictive Analytics
Instructor: Dean Abbott, President, Abbott Analytics

Putting Predictive Analytics to Work
Instructor: James Taylor, CEO, Decision Management Solutions

I look forward to seeing you there.

Eric Siegel
PAW Conference Chair

Follow PAW on Twitter.

Predictive Analytics World
February 16-17, 2010 - San Francisco
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