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Data Mining and Optimization Heuristics

Dr. PardalosPanos M. Pardalos, PhD
Distinguished Professor
Director, Center for Applied Optimization
Industrial and Systems Engineering, University of Florida
November 15th, 2013, 2:30 – 3:30 PM
500 John D. Tickle Engineering Building

Dr. Panos M. Pardalos serves as Distinguished Professor of Industrial and Systems Engineering at the University of Florida. He is also an affiliated faculty member of the Computer and Information Science Department, the Hellenic Studies Center, and the Biomedical Engineering Program. He is also the Director of the Center for Applied Optimization. Dr. Pardalos is a world leading expert in global and combinatorial optimization. His recent research interests include network design problems, optimization in telecommunications, e-commerce, data mining, biomedical applications, and massive computing. Professor Pardalos is a Fellow of AAAS and INFORMS, member of several Academies of Sciences and holds several Honorary professorships and Phd degrees. Dr. Panos Pardalos has been awarded the 2013 EURO Gold Medal Prize, bestowed by the Association for European Operational Research Societies, and the 2013 Constantin Caratheodory Prize of the International Society of Global Optimization. He is the editor-in Chief of Journal of Optimization Letters, Journal of Global Optimization, Energy Systems, and Computational Management Science.

Talk Abstract: In recent years, data mining and optimization heuristics have been used to analyze many large (and massive) data-sets that can be represented as a network. In these networks, certain attributes are associated with vertices and edges. This analysis often provides useful information about the internal structure of the datasets they represent. We are going to discuss our work on several networks from telecommunications (call graph), financial networks (market graph), social networks, and brain networks in neuroscience.

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