Exploratory data mining and analysis using CONQUEST

Author

Mesrobian, E. ; Muntz, R.R. ; Shek, E.C. ; Santos, J.R. ; Yi, J. ; Ng, K. ; Chien, S.-Y. ; Mechoso, C.R. ; Farrara, J.D. ; Stolorz, P. ; Nakamura, H.

Author_Institution

Dept. of Comput. Sci., California Univ., Los Angeles, CA, USA

fYear

1995

fDate

17-19 May 1995

Firstpage

281

Lastpage

286

Abstract

Exploratory data mining and analysis requires an extensible environment which provides facilities for the user-friendly expression and rapid execution of “scientific queries”. The authors present the CONQUEST (parallel query processing system) environment and illustrate its use for exploratory data analysis and data mining of spatio-temporal phenomena from geophysical datasets

Keywords

data analysis; data visualisation; distributed databases; geophysical techniques; geophysics; geophysics computing; iterative methods; knowledge acquisition; parallel processing; query processing; CONQUEST environment; exploratory data analysis; exploratory data mining; geophysical datasets; parallel query processing system; scientific queries; spatio-temporal phenomena; Computer science; Data analysis; Data mining; Data models; Data visualization; Environmental management; Laboratories; Propulsion; Query processing; Spatiotemporal phenomena;

fLanguage

English

Publisher

ieee

Conference_Titel

Communications, Computers, and Signal Processing, 1995. Proceedings., IEEE Pacific Rim Conference on

Conference_Location

Victoria, BC

Print_ISBN

0-7803-2553-2

Type

conf

DOI

10.1109/PACRIM.1995.519462

Filename

519462