Talk title: On Mining Big Data

Time: 2013/8/21 10:30-11:30

Place: EC 122

Philip S. Yu, University of Illinois at Chicago

Abstract:

    The problem of big data has become increasingly importance in recent years. On the one hand, the big data is an asset that potentially can offer tremendous value or reward to the data owner. On the other hand, it poses tremendous challenges to realize the value out of the big data. The very nature of the big data poses challenges not only due to its volume, and velocity of being generated, but also its variety and veracity. Here variety means the data collected from various sources can have different formats from structured data to text to network/graph data to image, etc. Veracity concerns the trustworthiness of the data as the various data sources can have different reliability. In this talk, we will discuss these issues and approaches to address them.

Bio:

    Philip S. Yu is currently a Distinguished Professor in the Department of Computer Science at the University of Illinois at Chicago and also holds the Wexler Chair in Information Technology.   He spent most of his career at IBM Thomas J. Watson Research Center and was manager of the Software Tools and Techniques group. His research interests include big data, data mining, privacy preserving data publishing, data stream, social networking, and database systems. Dr. Yu has published more than 730 papers in refereed journals and conferences with an h-index of 104. He holds or has applied for more than 250 US patents.

    Dr. Yu is a Fellow of the ACM and the IEEE.  He is the Editor-in-Chief of ACM Transactions on Knowledge Discovery from Data.  He is on the steering committee of the IEEE Conference on Data Mining and ACM Conference on Information and Knowledge Management and was a member of the IEEE Data Engineering steering committee.  He was the Editor-in-Chief of IEEE Transactions on Knowledge and Data Engineering (2001-2004). He had also served as an associate editor of ACM Transactions on the Internet Technology and Knowledge and Information Systems.  Dr. Yu receivedanIEEE Computer Society 2013 Technical Achievement Award for “pioneering and fundamentally innovative contributions to the scalable indexing, querying, searching, mining and anonymization of big data” and a Research Contributions Award from IEEE Intl. Conference on Data Mining in 2003. He also received an IEEE Region 1 Award for "promoting and perpetuating numerous new electrical engineering concepts" in 1999. He had received several IBM honors including 2 IBM Outstanding Innovation Awards, an Outstanding Technical Achievement Award, 2 Research Division Awards and the 94th plateau of Invention Achievement Awards.  He was an IBM Master Inventor. Dr. Yu received the B.S. Degree in E.E. from National Taiwan University, the M.S. and Ph.D. degrees in E.E. from Stanford University, and the M.B.A. degree from New York University.