Thursday, September 4, 2003
B17 Upson Hall
New York University
Activist Data Mining
Instead of waiting for data to appear and using statistics and rule mining to
analyze it, computational scientists can work with domain scientists to propose
a small but nicely-covering sample of experiments, evaluate the results and
propose a refined set. The underlying technology includes two-factor
combinatorial design, circuit inference, and fast algorithms for time series
analysis. This talk discusses these tools in the context of a series of case
study collaborations with biologists and physicists.
Joint work with Gloria Coruzzi, Allen Mincer, and Yunyue Zhu.