Big Data Analytics in Mobile Environments

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20 Νοε 2013 (πριν από 3 χρόνια και 10 μήνες)

259 εμφανίσεις

Big Data Analytics in Mobile Environments

Professor Hui Xiong

Email:
hxiong@rutgers.edu

Rutgers, the State University of New Jersey

WEB:
http://
datamining.rutgers.edu

Rutgers, the State University of New Jersey



Abstract.




Advances in sensor, wireless communication, and information infrastructure such as GPS,
WiFi,

and mobile phone technology have enabled us to collect and process massive amounts of
mobile data

from multiple sources but under operational time
.

These so
-
called big data have
become a major driving force of new waves of productivity growth, application innovation, and
consumer surplus. The big data are usually immense, fine
-
grained, diversified, d
ynamic, and
sufficiently information
-
rich in nature, and thus demands a radical change in the philosophy of
data analytics
. In this talk, we introduce some emerging big data applications and discuss the

technical and domain challenges

of big data analytics

in mobile environments
. In particularly, it
is especially important to investigate how the underlying computational models can be adapted
for managing the uncertainties in relation to big data process in a huge nebulous environment.



Short Biography


Dr
. Hui Xiong is currently an Associate Professor and the Vice Chair of the Management
Science and Information Systems Department
, and the Director of Rutgers Center for
Information Assurance

at
Rutgers, the State University of New Jersey, where he received

a two
-
year
early promotion/tenure (2009),

the Rutgers University


Board of Trustees Research
Fellowship for Scholarly Excellence (2009),
and
the ICDM
-
2011 Best Research Paper Award
(2011)
.
Dr. Xiong received his Ph.D. in Computer Science from the Universit
y of Minnesota
(UMN), USA, in 2005, the B.E. degree in Automation from the University of Science and
T
echnology of China (USTC),
China, and the M.S. degree in Computer Science from the
National University of Singapore (NUS), Singapore. His general area of
research is data and
knowledge engineering, with a focus on developing effective and efficient data analysis
techniques for emerging data intensive applications. He has published prolifically in refereed
journals and co
nference proceedings (3 books, 5
0+ jo
urnal papers, and 60+ conference papers).
He is the co
-
Editor
-
in
-
Chief of Encyclopedia of GIS (Springer, 2007)
,

and an Associate Editor of
IEEE Transactions on Knowledge and Data Engineering (TKDE)

as well as
the Knowledge and
Information Systems

(KAIS)

jo
urnal. He has served regularly on the organization and program
committees of numerous conferences, including as a Program Co
-
Chair of the Industrial and
Government Track for the 18th ACM SIGKDD International Conference on Knowledge
Discovery and Data Minin
g (KDD)

and
a Program Co
-
Chair for the IEEE 2013 International
Conference on Data Mining (ICDM)
. He is a senior member of the ACM and the IEEE.