Link Mining on Information Networks

Speaker:	Professor Philip YU
		Department of Computer Science
		University of Illinois at Chicago

Title:		"Link Mining on Information Networks"

Date:		Monday, 1 June, 2009

Time:		11:00am - 12 noon

Venue:		Lecture Theatre H
		(Chen Kuan Cheng Forum, near lifts 27/28), HKUST

Abstract:

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 mining. However, there is a lack of systematic treatment on how to
fully explore the power of links in scalable data mining. In this talk,
the power of links is examined to improve the effectiveness and efficiency
of information integration, including veracity analysis. As the World Wide
Web becomes the most important information source for most of us, there is
no guarantee for the correctness of information on the Web. Moreover,
different websites often provide conflicting information on a subject,
such as different specifications for the same product. In this talk, we
examine a new approach based upon link mining to find true facts from a
large amount of conflicting information on many subjects that is provided
by various websites.


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Biography:

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 was an IBM
Master Inventor.