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Exploring the Power of Link Analysis
Philip S. Yu
Algorithms like PageRank and HITS have been developed in late 1990s to explore links among Web pages to discover authoritative pages and hubs. Links have also been popularly used in citation analysis and social network analysis. However, there is a lack of systematic treatment on how to fully explore the power of links in scalable data analysis. In this talk, the power of links are examined to improve the effectiveness and efficiency of information integration, including veracity analysis and object distinction.
Bio Sketch of Philip S. Yu:
Philip S. Yu is a Professor in the Department of Computer Science at the University of Illinois at Chicago and also holds the Wexler Chair in Information Technology. He was manager of the Software Tools and Techniques group at the IBM Thomas J. Watson Research Center. Dr. Yu is a Fellow of the ACM and the IEEE. He served as the Editor-in-Chief of IEEE Transactions on Knowledge and Data Engineering (2001-2004). He is an associate editor of ACM Transactions on Knowledge Discovery from Data and also ACM Transactions of the Internet Technology. He serves on the steering committee of IEEE Int. Conference on Data Mining. He was a member of the IEEE Data Engineering steering committee. Dr. Yu received a Research Contributions Award from IEEE Intl. Conference on Data Mining in 2003. His research interests include data mining, and database systems. He has published more than 530 papers in refereed journals and conferences. He holds or has applied for more than 300 US patents. Dr. Yu is an IBM Master Inventor.