Back to Results
First PageMeta Content
Meteorology / Atmospheric sciences / Anomaly detection / Data security / NetCDF / Anomaly / Climatology / Statistics / Data mining / Data analysis


Improving Oceanographic Anomaly Detection Using High Performance Computing Thomas Huang, Ed Armstrong, George Chang, Toshio Chin, Brian Wilson, Tong (Tony) Lee, Victor Zlotnicki. Jorge Vazquez and Michelle Gierach Jet Pr
Add to Reading List

Document Date: 2015-05-13 15:32:26


Open Document

File Size: 982,01 KB

Share Result on Facebook

City

Drive Pasadena / /

Company

NASA Physical Oceanography Distributed Active Archive Center / Michelle Gierach Jet Propulsion Laboratory / Expand OceanXtremes / /

Country

United States / /

/

Facility

NASA Physical Oceanography Distributed Active Archive Center / Michelle Gierach Jet Propulsion Laboratory California Institute of Technology / /

IndustryTerm

data mining / chosen data mining algorithm / test web portal / technology effort / web portal / open-source data processing/analysis solutions / search solutions / data visualization solution / parallel data-mining operations / feature detection algorithms / parallel data-mining / technology ideas / /

Organization

California Institute of Technology / National Aeronautics and Space Administration / /

Person

Tong (Tony) Lee / Jorge Vazquez / Thomas Huang / Victor Zlotnicki / George Chang / Rogue / Toshio Chin / Brian Wilson / /

ProvinceOrState

California / /

Technology

Virtual Machine technology / data mining / chosen data mining algorithm / feature detection algorithms / /

SocialTag