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Coupling visualization and data analysis for knowledge discovery from multi-dimensional scientific data.
- Source :
- Procedia Computer Science; May2010, Vol. 1 Issue 1, p1751-1758, 8p
- Publication Year :
- 2010
-
Abstract
- Abstract: Knowledge discovery from large and complex scientific data is a challenging task. With the ability to measure and simulate more processes at increasingly finer spatial and temporal scales, the growing number of data dimensions and data objects presents tremendous challenges for effective data analysis and data exploration methods and tools. The combination and close integration of methods from scientific visualization, information visualization, automated data analysis, and other enabling technologies—such as efficient data management—supports knowledge discovery from multi-dimensional scientific data. This paper surveys two distinct applications in developmental biology and accelerator physics, illustrating the effectiveness of the described approach. [ABSTRACT FROM AUTHOR]
- Subjects :
- DATA analysis
BIOLOGY
PHYSICS
DATA visualization
Subjects
Details
- Language :
- English
- ISSN :
- 18770509
- Volume :
- 1
- Issue :
- 1
- Database :
- Supplemental Index
- Journal :
- Procedia Computer Science
- Publication Type :
- Academic Journal
- Accession number :
- 53889835
- Full Text :
- https://doi.org/10.1016/j.procs.2010.04.197