[ESIP-all] AGU Session: Big Data Analytics
Huang, Thomas (398G)
Thomas.Huang at jpl.nasa.gov
Fri Jul 29 11:30:17 EDT 2016
Time is running out. We would like to invite you to submit an abstract for IN008 (Session ID 13144) on Big Data Analytics. AGU 2016 Abstract submission is available at http://fallmeeting.agu.org/2016/abstract-submissions/. The Deadline for abstract submission is August 3, 2016 (23:59 EDT).
IN008: Big Data Analytics
Big Data pose great challenges for Earth and Space sciences. Cloud Computing emerged as a promising solution for supporting Big Data analytics in areas such as climate science, ocean science, atmospheric science, planetary science, and other geoscience domains for model simulation, data management, information mining, decision support, and visualization. This session is to capture the latest on applying Cloud Computing for Big Data Analytical problems in all Earth and space domains. Topics include demonstration, studies, methods, solutions and solution discussion on
· Solutions for big data analytics
· Big data mining
· Application of open source technologies
· Automated techniques for data analysis
· Browser-based data analytics and visualization
· Real time decision support
Contributions that fuse participatory social learning into the Geoscience R&D processes are also welcome.
Thomas Huang, JPL
thomas.huang at jpl.nasa.gov<mailto:thomas.huang at jpl.nasa.gov>
Chaowei Phil Yang, GMU
cyang3 at gmu.edu<mailto:cyang3 at gmu.edu>
Christopher S. Lynnes, NASA/ESDIS
christopher.s.lynnes at nasa.gov<mailto:christopher.s.lynnes at nasa.gov>
Tiffany C. Vance, NOAA
tiffany.c.vance at noaa.gov<mailto:tiffany.c.vance at noaa.gov>
Jet Propulsion Laboratory
4800 Oak Grove Drive, Mail Stop 158-242, Pasadena, CA 91109
Phone: 818.354.2747, Email: thomas.huang at jpl.nasa.gov<mailto:thomas.huang at jpl.nasa.gov>
DISCLAIMER: All personal and professional opinions presented herein are my own and do not, in any way, represent the opinion or policy of JPL, NASA or Caltech.
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