Title :
Mining geophysical data for knowledge
Author :
Mesrobian, Edmond ; Muntz, Richard ; Shek, Eddie ; Nittel, Siliva ; Rouche, Mark La ; Kriguer, Marc ; Mechoso, Carlos ; Farrara, John ; Stolorz, Paul ; Nakamura, Hajime
Author_Institution :
California Univ., Los Angeles, CA, USA
fDate :
10/1/1996 12:00:00 AM
Abstract :
Oasis is a flexible, extensible, and seamless environment for scientific data analysis, knowledge discovery, visualization, and collaboration. The authors describe how Oasis can help explore data analysis and data mining of spatio-temporal phenomena from large geophysical data sets
Keywords :
data analysis; data visualisation; geophysics; geophysics computing; knowledge acquisition; Oasis; collaboration; data analysis; data mining; geophysical data; geophysical data sets; scientific data analysis; visualization; Chemical processes; Collaboration; Data analysis; Data mining; Data visualization; File systems; Hardware; Information retrieval; Military computing; Nitrogen;
Journal_Title :
IEEE Expert