[ESIP-all] FW: FINAL CALL FOR PARTICIPATION: NATIONAL SCIENCE FOUNDATION SYMPOSIUM ON NEXT GENERATION OF DATA MINING
Carol B. Meyer
carol.meyer at earthsciencefoundation.org
Mon Oct 1 10:15:12 EDT 2007
-----Original Message-----
From: Martha Maiden [mailto:martha.e.maiden at nasa.gov]
Sent: Monday, October 01, 2007 10:13 AM
To: Carol B. Meyer
Subject: FW: FINAL CALL FOR PARTICIPATION: NATIONAL SCIENCE FOUNDATION
SYMPOSIUM ON NEXT GENERATION OF DATA MINING
NATIONAL SCIENCE FOUNDATION SYMPOSIUM ON
NEXT GENERATION DATA MINING AND
CYBER-ENABLED DISCOVERY FOR INNOVATION
Inner Harbor, Baltimore, USA
10-12 October 2007
http://www.cs.umbc.edu/~hillol/NGDM07/
Explore and experience the next generation of data mining.
Join NGDM'07 in exploring the emerging technologies and
applications of data mining in:
1) E-Science and Engineering
2) Ubiquitous, Distributed, and High Performance Environments
3) Security, Surveillance, and Privacy
4) Social Science, Finance, Medicine, and Digital Humanities
5) The Web and its Semantics
Contribute to the NSF-report on the needs for next generation
of research and development in this area.
GENERAL CHAIR
Hillol Kargupta
Department of Computer Science and Electrical Engineering,
University of Maryland, Baltimore County
& Agnik
Web: http://www.cs.umbc.edu/~hillol
http://www.agnik.com
E-mail: ngdm07 at agnik dot com
STEERING COMMITTEE
(1) Rakesh Agrawal, Microsoft Research
(2) Christos Faloutsos, Carnegie Mellon University
(3) Jiawei Han, University of Illinois at Urbana-Champaign
(4) Hillol Kargupta, University of Maryland, Baltimore County
(5) Vipin Kumar, University of Minnesota
(6) Rajeev Motwani, Stanford University
(7) Philip Yu, IBM T. J. Watson Research Center
SCOPE
The dramatic increase in the availability of data from various
sources is creating many fundamental challenges in computing,
storage, communication, and human computer interaction issues for
data mining. Scientists, engineers, and businesses are facing
with emerging problems that involve complex networked
observations, massive simulation-data sets, and ubiquitous
sensory data streams. These heterogeneous data sources should be
linked and analyzed for discovering the next frontiers of
science, arts, and technology. We also need to look beyond the
current cyber-infrastructure and explore how the next generation
of networked data mining applications will support such
large-scale, ubiquitous, multi-source, and data intensive
domains.
This National Science Foundation symposium on Next Generation Data
Mining and Cyber Enabled Discovery for Innovation (NGDM?07) will
bring together data mining researchers, scientists, and engineers
from a diverse background along with domain experts for various
emerging problems that are relevant to Cyber Enabled Discovery
for Innovation (CDI). The objective is to enhance the
understanding of the research problems and facilitate creating an
environment for better understanding the challenges in front of
the data mining and the CDI community.
NGDM'07 will focus on the following areas:
(1) Data Mining in e-Science and Engineering
(2) Media, Pervasive Computing, and Ubiquitous Data Mining
(3) Data mining in Security Surveillance, and Privacy Protection
(4) Social Science, Finance, Digital Humanities, and Data Mining
(5) The Web, Semantics, and Data Mining
For more details please visit the symposium website.
INVITED SPEAKERS
(1) Alessandro Acquisti, Carnegie Mellon University
(2) Michael Berry, University of Tennessee
(3) Gerbrand Ceder and Chris Fischer, MIT
(4) Chris Clifton, Purdue University
(5) David Covell, National Cancer Institute
(6) Saso Dzeroski, Jozef Stefan Institute
(7) Christos Faloutsos, Carnegie Mellon University
(8) Ian Foster, Argonne National Laboratory
(9) James Gentle, George Mason University
(10) David Goldberg, Univ. of Illinois at Urbana Champaign
(11) Robert Grossman, University of Illinois at Chicago
(12) Jiawei Han, University of Illinois at Urbana-Champaign
(13) Haym Hirsh, National Science Foundation and Rutgers
(14) Matt Krischenbaum, Univ. of Maryland, College Park
(15) Vipin Kumar, University of Minnesota
(16) Michael May, Fraunhofer Institute
(17) Srinivasan Parthasarathy, Ohio State University
(18) Raghu Ramakrishnan, Yahoo! Research
(19) Steven Salzberg, University of Maryland, College Park
(20) Marc Snir, University of Illinois at Urbana-Champaign
(21) Jaideep Srivastava, University of Minnesota
(22) Bhavani Thuraisingham, University of Texas at Dallas
(23) Daniel J. Weitzner, MIT
(24) Xindong Wu, University of Vermont
(25) Philip Yu, IBM T. J. Watson Research Center
INVITED PANELISTS
(1) Joe Bredecamp, NASA
(2) Alok Choudhary, Northwestern University
(3) Tim Finin, University of Maryland, Baltimore County
(4) Joseph Kielman, Department of Homeland Security
(5) Diane Lambert, Google Research
(6) Dino Pedreschi, University of Pisa
(7) Ted Senator, SAIC
(8) Maria Zemankova, National Science Foundation
------ End of Forwarded Message
More information about the ESIP-all
mailing list