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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