Download Data Mining: Algorithms, Applications and Beyond Chandan K

DEPARTMENT OF COMPUTER SCIENCE
Data Mining: Algorithms, Applications and Beyond
Chandan K. Reddy
Department of Computer Science
Wayne State University
Tuesday, November 27, 2007
3:00 PM 110 Purdy-Kresge Library
Abstract:
With the advent of various swift data acquisition systems and recent developments in the
internet technology, huge amounts of data have been amassed in different forms. The
traditional approach of “algorithm driven science” for discovering interesting patterns is
moving towards “data driven science”. The bursting need for identifying some interpretable
and valuable information from these massive datasets has never been more important than
it is today. The underlying principle of data mining is to develop robust algorithms for
nontrivial extraction of hidden and potentially useful information from massive amounts of
data. In the last decade, data mining has emerged as one of the most promising and
challenging areas in computer science. This talk will consist of two parts. The first half of
the talk will give a brief overview to various concepts and popular techniques used in the
field of data mining. The second half of the talk will primarily focus on my current research
topics and some of the future research directions that I will be pursuing. Specifically, the
data mining related topics that will be discussed are: mixture modeling, boosting, active
learning, and reinforcement learning. Most of these methods will be illustrated in the
context of real-world problems that arise in various applications related to biomedical
informatics and business intelligence. Finally, the talk will be concluded by describing the
future impact of data mining techniques in these domains.
Biography:
Dr. Chandan Reddy is currently an Assistant Professor in the Department of computer
Science at Wayne State University, Detroit, MI. He received his Ph.D. in Electrical and
Computer Engineering from Cornell University, Ithaca, NY, in 2007. Prior to that, he
received his M.S. degree in Computer Science and Engineering from Michigan State
University, East Lansing, MI and Bachelor’s degree in Computer Science and Engineering
from Pondicherry University, Pondicherry, India. His primary research interests are in the
areas of Data Mining, Optimization, Machine Learning, Biomedical Informatics, and
Business Intelligence. He also worked with IBM Research and Siemens Corporate
Research. He is a member of the IEEE and ACM.
5143 Cass Avenue  431 State Hall  Detroit, Michigan 48202  +1.313.577.2477  Fax +1.313.577.6868  http://www.cs.wayne.edu