Coupling visualization and data analysis for knowledge discovery from multi-dimensional scientific data

Ruebel, Oliver; Ahern, Sean; Bethel, E. Wes; Biggin, Mark D.; Childs, Hank; Cormier-Michel, Estelle; DePace, Angela; Eisen, Michael B.; Fowlkes, Charless C.; Geddes, Cameron G. R.; Hagen, Hans; Hamann, Bernd; Huang, Min-Yu; Keraenen, Soile V. E.; Knowles, David W.; Hendriks, Cris L. Luengo; Malik, Jitendra; Meredith, Jeremy; Messmer, Peter; Prabhat; Ushizima, Daniela; Weber, Gunther H.; Wu, Kesheng

doi:10.1016/j.procs.2010.04.197

Conference paper - Peer-reviewed, 2010

Coupling visualization and data analysis for knowledge discovery from multi-dimensional scientific data

Ruebel, Oliver; Ahern, Sean; Bethel, E. Wes; Biggin, Mark D.; Childs, Hank; Cormier-Michel, Estelle; DePace, Angela; Eisen, Michael B.; Fowlkes, Charless C.; Geddes, Cameron G. R.; Hagen, Hans; Hamann, Bernd; Huang, Min-Yu; Keraenen, Soile V. E.; Knowles, David W.; Hendriks, Cris L. Luengo; Malik, Jitendra; Meredith, Jeremy; Messmer, Peter; Prabhat;
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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. (C) 2010 Published by Elsevier Ltd.

Keywords

scientific visualization; information visualization; data analysis; multi-dimensional data; laser wakefield particle acceleration; 3D gene expression

Published in

Procedia Computer Science
2010, volume: 1, number: 1, pages: 1751-1758
Publisher: ELSEVIER ACADEMIC PRESS INC, 525 B STREET, SUITE 1900, SAN DIEGO, CA 92101-4495 USA

Conference

The International Conference on Computational Science 2010

Authors' information

Rübel, Oliver

Ahern, Sean

Bethel, E. Wes

Biggin, Mark D.

Childs, Hank

Cormier-Michel, Estelle

DePace, Angela

Eisen, Michael B.

Fowlkes, Charles C.

Geddes, Cameron G. R.

Hagen, Hans

Hamann, Bernd

Huang, Min-Yu

Keränen, Soile V.E.

Knowles, David W.

Luengo, Cris

Swedish University of Agricultural Sciences, Centre for Image Analysis

Malik, Jitendra

Meredith, Jeremy

Messmer, Peter

Prabhat,

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UKÄ Subject classification

Computer Science

Publication Identifiers

DOI: https://doi.org/10.1016/j.procs.2010.04.197

URI (permanent link to this page)

https://res.slu.se/id/publ/31857