DIMACS Tutorial on Data Mining and Epidemiology
Dates: March 23 - 24, 2006
DIMACS Center, CoRE Building, Rutgers University
- Organizers:
- James Abello, DIMACS, abello@dimacs.rutgers.edu
- Graham Cormode, Bell Laboratories, cormode@bell-labs.com
Presented under the auspices of the Special Focus on
Computational and Mathematical Epidemiology.
Workshop Program:
Thursday, March 23, 2006
Probability and Machine Learning Tutorials
8:15 - 9:00 Breakfast and Registration
9:00 - 9:10 Introductory Remarks
Fred Roberts, DIMACS Director
9:10 - 10:15 Selected Problems in Epidemiology
Nina Fefferman, DIMACS and Tufts University
The Mathematical Formulation of the Foot-and-mouth Disease Epidemic
Component of the Decision Support System Developed at LLNL
Tanya Kostova, LLNL
10:15 - 10:30 Break
10:30 - 1:00 Probability for Data Miners Tutorial
Brigham Anderson, Carnegie Mellon University
1:00 - 2:00 Lunch
2:00 - 4:30 Machine Learning Algorithms for Classification
Robert Schapire, Princeton University
4:30 - 4:45 Break
4:45 - 5:45 Contributed Talks
The Containment Problem
Michael Capalbo
Viruses and Computer Scientists
Courtney D. Corley, University of North Texas
Using cluster analysis to determine the influence of epidemiological
features on medical status of lung cancer patients
Dmitriy Fradkin, Ask.com
5:45 - 7:45 Dinner and Reception
Friday, March 24, 2006
Data Streaming and Graph Mining Tutorials
8:15 - 9:00 Breakfast and Registration
9:00 - 9:15 Introductory Remarks
9:15 - 11:45 Cluster and Data Stream Analysis
Graham Cormode, Bell Labs
11:45 - 1:00 Lunch
1:00 - 3:15 Graph Mining Tutorial
James Abello, DIMACS and Ask-Research
3:15 - 3:30 Break
3:30 - 5:00 Closing Section - To what extent are the presented data mining
techniques useful for epidemiological research?
Moderators: James Abello, Graham Cormode, Nina Fefferman and Tanya Kostova
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Document last modified on March 9, 2006.