ISRI Seminar Series Presents:
 
Christopher W. Clifton, Assoc. Professor Purdue University
 
Title: Privacy Conflicts Inherent in Data Analysis
 
Wean Hall 4625
Wednesday, March 29th
10:30-11:30am
 
Abstract:
 
Privacy-Preserving Data Mining has generated many research successes,
but as yet little real-world impact.  One problem is that we do not
yet have accepted definitions of privacy; either legal, social, or
technical; that apply to privacy-preserving data mining.  This talk
discusses this issue, with a brief overview of what we can do and a
survey of work that can help with what needs to be done.  In spite of
this problem, there are real-world scenarios that can be addressed by
today's technology; the talk concludes with a discussion of such areas
and the research needed to make technology transfer happen.
 
 
Bio: 

Dr. Clifton works on challenges posed by novel uses of data mining
technology, including privacy-preserving data mining, data mining of
text, and data mining techniques applied to interoperation of
heterogeneous information sources. Fundamental data mining challenges
posed by these applications include extracting knowledge from noisy
data, identifying knowledge in highly skewed data (few examples of
"interesting" behavior), and limits on learning. He also works on
database support for widely distributed and autonomously controlled
information, particularly information administration issues such as
supporting fine-grained access control.

Prior to joining Purdue, Dr. Clifton was a principal scientist in the
Information Technology Division at the MITRE Corporation. Before
joining MITRE in 1995, he was an assistant professor of computer
science at Northwestern University.