## Design of Experiments and Data Mining

Lulu Kang

Assistant Professor

Department of Applied Mathematics

Illinois Institute of Technology

Stuart Building 113

Wednesday, March 28th, 2012

12:50PM-1:45PM

**
Slides**

**Abstract: **Design of experiment (DOE)
has been an important field in statistics. It contains many classic
methodologies and theories. But due to the advanced development of
modern computing technology and the invention of many new statistical
fields, new techniques, methods, and theories in DOE are also
introduced. For example, the birth of computer simulation, or in other
words "computer experiments", lead to the development of a completely
new branch in DOE, i.e., design of computer experiments. Meanwhile, the
applications of DOE have become much broader than ever. In this talk, we
will briefly review the important concepts and methodologies in DOE.
Then we connect DOE to machine learning, and show how DOE techniques can
help and boost some the machine learning methods.

**Bio: **Lulu Kang is an Assistant
Professor at the Department of Applied Mathematics of Illinois Institute
of Technology. She obtained her M.S. in Operations Research and Ph.D. in
Industrial Engineering from H. Milton Stewart School of Industrial and
System Engineering at Georgia Institute of Technology. She has done
research in several fields in Statistics, including design and analysis
of experiments, design of computer experiments, multivariate
interpolation methods, meta-modeling methods, engineering statistics,
etc. Currently she is focusing on Uncertainty Quantification field which
is a new inter-discipline combining engineering, statistics and applied
mathematics.