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.
Highlights related to data mining for biomedical applications:
* John W. Robinson, M.D., PhD, Healthcare Management and Statistical Consulting, previously served as chief medical officer of a
managed care organization, Systems for Risk-adjusting Healthcare Cost
* Adele Cutler, Co-developer of Random Forests, Random Forests: Including Case Study Presentations illustrating the use of
RandomForests for Dementia and Nutrition
* Richard Olshen, Co-developer of CART, Stanford University Medical School, CART for Selecting Features in Biomedical Contexts
* Marsha Wilcox, Johnson & Johnson, Adverse Events: Side Effects of Medication (with discussion of splitting rule methodology)
* Steven Fox, GlaxoSmithKline, Finding Biomarkers of Disease to Predict Disease Outcomes: Utilizing Genetics, Transcriptomics,
Proteomics and Metabolomics and Clinical Variables
* Richard Straub, National Institute of Health (NIH), Genes, Cognition and Psychosis: Insights from TreeNet and Random Forests
* John Fontanesi, UCSD School of Medicine, Identifying Key Determinates of Quality in Health Care
* Grant Humphries, International Arctic Research Center, University of Alaska Fairbanks, Environmental Predictive Modeling using
TreeNet: Predictive Modeling of Dimethylsulfide (DMS) in the Global Ocean
Methodology topics include:
* Jerome Friedman, Co-developer of CART, MARS, TreeNet, Stanford University, New Methods for Rule Ensembles and Ensemble
Compression
* David Otto, EMB, Mini-Tutorial: Combining Linear and Non-Linear Modeling Techniques: Getting the Best of Two Worlds
* What's Next in Data Mining: Cutting Edge Applications
* Modeling Automation Techniques and Competition Wins: Clever Uses of Data Mining to Win Data Mining Competitions
* Larry Deschaine, SAIC, Fusing Information Content of Data-Driven and Theoretical-Based Models, Case Study: Unexploded
Ordinance Discrimination
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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