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Data Mining Conference in California, Aug 23-25

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li...@salford-systems.com

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Aug 3, 2009, 1:06:49 PM8/3/09
to
Analytics & Data Mining Conference in California, Aug 23-25, San
Diego. 2 full days of real-world case study presentations, reception
with industry thought leaders, hands-on training.

Special Early-Bird Extension Deadline: Friday, August 7 with
Registration Code: googledatabasesolapextension.
Register Now: http://www.salforddatamining.com/registration.php

Program Schedule: http://SalfordDataMining.com/agenda.php

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.

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