| San Diego August 23-25, 2009 |
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| DAY 1: SUNDAY 8/23/2009 |
Conference Registration
Starting at 5:45 PM |
WELCOMING MIXER/RECEPTION
6:00-9:00 PM |
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An opportunity to meet with thought-leaders in the data mining community including Adele Cutler, Jerome Friedman, Richard Olshen, Dan Steinberg and more than 20 speakers.
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| DAY 2: MONDAY 8/24/2009 |
Registration
7:30 AM - 5:00 PM
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Continental Breakfast
7:45 - 8:45 AM |
GENERAL SESSION
8:45-9:00 AM |
Welcoming Remarks
Dan Steinberg, CEO Salford Systems |
Concurrent Sessions (1)
9:00-10:00 AM |
Current Events/Finance/Insurance
Louise Francis
Casualty Actuary Society and Francis Analytics
Data and Disaster: The Role of Data in the Financial Crisis |
Advanced Methodology
Jerome Friedman
Stanford University
Fast Sparse Regression and Classification |
Morning Break
10:00-10:30 AM |
Concurrent Sessions (2)
10:30-11:30 AM |
Finance/Business
Darrol Stanley (co-author: Owen Hall)
Pepperdine University
Data Mining of S&P1500 Firm Performance
Utilizing ROE and Tobin’s Q |
Business/Retail
Greg Makowski
Golden Data Mining
Embedded Automatic Model Training and Forecasting in an Enterprise Retail Software Application (with TreeNet) |
Insurance/Biomedical/ Business
John W. Robinson, M.D., PhD
Healthcare Management and Statistical Consulting
A Data Mining Approach (akin to TreeNet) for Risk-Adjusting Healthcare Cost Predictions |
Concurrent Sessions (3)
11:30-12:30 PM |
Finance/Business
Dan Steinberg
Salford Systems
Interaction Detection and Financial Market Behavior |
Methodology/Insurance
David Otto and Mikhail Golovnya
EMB and Salford Systems
Mini-Tutorial Part 1: Combining Linear and
Non-Linear Modeling Techniques: Getting the
Best of Two Worlds (Case Study Example from the Insurance Industry) |
Biomedical/Methodology
Marsha Wilcox
Johnson & Johnson
Using CART & TreeNet to Discern Models in Genetics: Alzheimer Disease, Alcoholism & Cocaine Addiction |
Lunch Break
12:30-2:00 PM |
Concurrent Sessions (4)
2:00-3:00 PM |
Finance/Business
Dr. Edward N Balli
Financial and Management Solutions and Argosy University
Insight into Accounting Revenue Errors |
Methodology/Insurance
David Otto and Mikhail Golovnya
EMB and Salford Systems
Mini-Tutorial Part 2: Combining Linear and
Non-Linear Modeling Techniques: Getting the
Best of Two Worlds (Case Study Example
from the Insurance Industry) |
Biomedical
Richard Olshen
Co-developer of CART,
Stanford University
CART for Selecting Features in Biomedical Contexts |
Concurrent Sessions (5)
3:00-4:00 PM |
Business/Mortgage
Sam Dastrup
(co-author: Richard Carson)
University of California, San Diego
The Housing Price Bubble: Data
Mining to Explain Variations in the
Fall Across Metropolitan Areas |
Fraud Detection/Insurance/ Methodology
Louise Francis
Casualty Actuary Society and Francis Analytics
Predicting Insurance Fraud while Comparing Data Mining Techniques |
Biomedical/Methodology
Benjamin Goldstein
University of California, Berkeley
Approaches and Considerations for applying
RandomForests to a Genome Wide
Association Dataset |
Afternoon Break
4:00-4:30 PM |
Concurrent Sessions (6)
4:30-5:30 PM |
Business/Advertising
Joshua Koran
Value Click
Advertising and Data Mining |
Insurance/Biomedical
Marsha Wilcox
Johnson & Johnson
Adverse Events: Side Effects of Medication
(Insurance Claims dataset, with discussion
of splitting rule methdology) |
| DAY 3: TUESDAY 8/25/2009 |
Registration
7:30 AM - 5:00 PM
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Continental Breakfast
7:30 - 8:30 AM |
Concurrent Sessions (7)
8:30-9:30 AM |
Business/Banking
Jon Farrar
Union Bank
The Evolution of Data Analysis in Financial Services: Between the Data and the Deep Blue Sea |
Business/Network Structures
Ekta Nankani
University of Western Sydney Australia
Predictive Analytics That Takes in Account Network Relations: A Case Study of an Enterprise University |
Biomedical
Steven Fox
GlaxoSmithKline
Putting the CART before the Horse; an Example of Biomarker Discovery |
Morning Break
9:30-10:00 AM |
Concurrent Sessions (8)
10:00-11:00 AM |
Business/Marketing
Louise Keely
The Cambridge Group
Finding Consumers More Accurately and Actionably Using Data Mining Tools |
Business/Insurance
Peter Mulquiney
Taylor Fry Consulting Actuaries
Taylor Fry Consulting Actuaries
Using Customer Demand Elasticity to Optimize Insurance Prices |
Biomedical
Richard Straub
National Institute of Health (NIH)
Genes, Cognition and Psychosis: Insights
from TreeNet and Random Forests |
Concurrent Sessions (9)
11:00-12:00 PM |
Business/Insurance
Arnab Dey and Nagendra Shishodia
EXL Service
Workers Compensation - Improving Collections/
Reducing Bad Debt |
Defense
Salem Benferhat
Universitè d'Artois
Data Mining and Detecting Complex Attacks |
Biomedical/Methodology
John Fontanesi
UCSD School of Medicine
Identifying Key Determinates of Quality in Health Care
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Lunch Break
12:00-1:30 PM |
Concurrent Sessions (10)
1:30-2:30 PM |
Business/Methodology
Aaron Davis
Datalab USA
High Volume Direct Marketing: Leveraging Feature Selection Within TreeNet |
Defense/Current Events
Joshua Hill and John Miller
Institute for the Study of Violent Groups and Sam Houston State University
Modeling Terrorism Culpability: An Event-Based Approach. |
Environmental
Grant Humphries
International Arctic Research Center,
University of Alaska Fairbanks
Environmental Predictive Modeling using
TreeNet: Predictive Modeling of
Dimethylsulfide(DMS) in the Global Ocean |
Concurrent Sessions (11)
2:30-3:30 PM |
Business
Dean Abbott
Abbott Analytics
A Business-Centric Solution to Text Mining of Help Desk Data using CART |
Methodology
Mikhail Golovnya
Salford Systems
Modeling Automation Techniques and Competition Wins: Clever Uses of Data Mining to Win Data Mining Competitions |
Environmental/Defense/ Methodology
Larry Deschaine
SAIC
Fusing Information Content of Data-Driven and
Theoretical-Based Models, Case Study:
Unexploded Ordinance Discrimination |
Afternoon Break
3:30-4:00 PM |
GENERAL SESSION
4:00-4:30 PM
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