[ESIP-all] Earth Science at IEEE Symposium

carol.meyer at earthsciencefoundation.org carol.meyer at earthsciencefoundation.org
Tue Nov 14 08:25:17 EST 2006

								-----Original Message-----
From: Martha Maiden [mailto:martha.e.maiden at nasa.gov] 
Sent: Monday, November 13, 2006 4:38 PM
To: Carol B. Meyer
Subject: FW: Earth Science at IEEE Symposium

								Carol,  Please post to ESIP All.  -Martha

Subject: Earth Science at IEEE Symposium

Dear Colleagues, 

I'd like to call your attention to the Special Session on Computational Intelligence,
Statistics, and Data Mining at the upcoming IEEE Symposium on Computational Intelligence
and Data Mining. Details are below. Please consider submitting a paper to this session;
it will help us take the first steps towards building a cohesive, Earth Science-oriented
community within the IEEE. 


Computational Intelligence, Statistics, and Data Mining in Earth Science
A Special Session at the IEEE Symposium on Computational Intelligence and Data Mining
April 1-5, Honolulu, HI

Ever increasing speed and lower costs achieved by today's computer technology continues to spawn a wealth of new data types and analysis methods. Nowhere is this more true than in Earth science. New, innovative instruments collect vast amounts data, and new science data processing algorithms turn this raw information into valuable but massive geophysical data sets. However, most traditional analysis methods used in Earth science can't exploit these data because of their size, complexity, distribution over physical locations, and mis-matches in statistical characteristics.
The intent of this special session is to solicit, show-case, and discuss recent developments in computational technologies, statistics and data mining that contribute to scientific understanding from massive Earth science data sets. These data sets include remote sensing data from satellites and aircraft, in-situ observational data such as those from seismic and sensor networks, and massive data sets produced by models. Key problems include data mining and statistical analysis of distributed data, data fusion, understanding the evolution of spatial and temporal structures and their physical interpretations, and comparison of model generated and
observational data sets for the purpose of improving the models.

Important Dates:
Paper Submission November 15, 2006
Notification of Acceptance: December 15, 2006
Camera Ready Submission January 15, 2007
Conference April 1-5, 2007

Contact Amy Braverman at Amy.Braverman at jpl.nasa.gov<mailto:Amy.Braverman at jpl.nasa.gov>  for more information.

								Amy Braverman, Ph.D. 

								Senior Member,  
								Information Systems and Computer Science Staff 

								Jet Propulsion Laboratory 
California Institute of Technology
Mail Stop 126-347 

								4800 Oak Grove Drive
Pasadena, CA 91109-8099
								  (818) 354-6168  Fax:  (818) 393-6141 

								(818) 354-4888

								Amy.Braverman at jpl.nasa.gov 

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