Data Mining with Big Data

Speaker:        Professor Xindong WU
                Department of Computer Science
                University of Vermont
                USA

Title:          "Data Mining with Big Data"

Date:           Monday, 16 December 2013

Time:           2:00pm - 3:30pm

Venue:          Leung Yat Sing Lecture Theater
                (LT-F, near lifts 25/26), HKUST

Abstract:

Big Data concerns large-volume, complex, growing data sets with multiple,
autonomous sources. With the fast development of networking, data storage,
and the data collection capacity, Big Data is now rapidly expanding in all
science and engineering domains, including physical, biological and
bio-medical sciences. This talk presents a HACE theorem that characterizes
the features of the Big Data revolution, and discusses a Big Data
processing model, from the data mining perspective. This data-driven model
involves demand-driven aggregation of information sources, mining and
analysis, user interest modeling, and security and privacy considerations.
Challenging issues in the data-driven model and also in the Big Data
revolution are analyzed.


******************
Biography:

Xindong Wu is a Professor of Computer Science at the University of Vermont
(USA), a Yangtze River Scholar in the School of Computer Science and
Information Engineering at the Hefei University of Technology (China), and
a Fellow of the IEEE and the AAAS. He holds a PhD in Artificial
Intelligence from the University of Edinburgh, Britain. His research
interests include data mining, Big Data analytics knowledge-based systems,
and Web information exploration. Dr. Wu is the Steering Committee Chair of
the IEEE International Conference on Data Mining (ICDM), the
Editor-in-Chief of Knowledge and Information Systems (KAIS), the Founding
Chair (2002-2006) of the IEEE Computer Society Technical Committee on
Intelligent Informatics (TCII), and a Series Editor of the Springer Book
Series on Advanced Information and Knowledge Processing (AI&KP). He was
the Editor-in-Chief of the IEEE Transactions on Knowledge and Data
Engineering (TKDE) between January 2005 and December 2008, and has served
as Program Committee Chair/Co-Chair for ICDM '03, KDD-07, CIKM 2010, and
ASONAM 2014.  Professor Wu is the 2004 ACM SIGKDD Service Award winner,
the 2006 IEEE ICDM Outstanding Service Award winner, and a 2012 IEEE
Computer Society Technical Achievement Award recipient "for pioneering
contributions to data mining and applications".