Salford Data Mining Conference
August 23rd - 25th, 2009
San Diego, California

Early-Bird Registration Deadline: July 24th, 2009

http://SalfordDataMining.com/agenda.php

Post-Conference Training
August 26th - 28th, 2009

Our conference will offer prominent keynote speakers and informative real world application solutions. Conference topics include:

   * What Data Mining Has to Say About the Financial Crisis
   * Maximizing Profit of High Volume Direct Marketing Campaigns
   * Interaction Detection and Financial Market Behavior
   * Predicting Healthcare Costs and Risk-Adjusting Healthcare Cost Predictions
   * Data Mining Approaches to Modeling Insurance Risk
   * Disease Prediction
   * Clinical Data Analysis
   * Actuarial and Underwriting Analytics
   * Interaction Detection for Discovery of Disease Causing Genetics
   * Online Advertising
   * Fraud Detection
   * Defense: Modeling Terrorism, Detecting Complex Attacks
   * Mini-Tutorial: Combining Linear and Non-Linear Modeling Techniques
   * Presentations by Developers of CART, MARS, TreeNet and Random Forests
   * And Many More

Attendees at prior conferences included: The International Monetary Fund, Barnes and Noble, Pfizer, Union Bank, Wells Fargo, Stanford Linear Accelerator Center, Cold Spring Harbor Laboratory, Novartis, Columbia University School of Public Health, Harvard Medical School, HSBC, International Steel Group, Cap Gemini, AT&T Labs-Research, PricewaterhouseCoopers, and Liberty Mutual Insurance.

The 2009 Salford Data Mining Conference is aimed at bringing together researchers and practitioners to learn about data mining technology from practical and theoretical experts. This venue will serve as a place to learn data mining technology and anticipated future developments from industry leading experts. It will also allow attendees to exchange ideas and experiences focused on the practice of data mining and the art and practice of real world analysis of complex data.

We look forward to seeing you at the 2009 Salford Data Mining Conference.

Please visit our website at http://SalfordDataMining.com/agenda.php for the latest information.


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