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Konferensartikel2010Vetenskapligt granskadÖppen tillgång

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
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Sammanfattning

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.

Nyckelord

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

Publicerad i

Procedia Computer Science
2010, Volym: 1, nummer: 1, sidor: 1751-1758
Utgivare: ELSEVIER ACADEMIC PRESS INC, 525 B STREET, SUITE 1900, SAN DIEGO, CA 92101-4495 USA

Konferens

The International Conference on Computational Science 2010

      SLU författare

    • Luengo, Cris

      • Centre for Image Analysis, Sveriges lantbruksuniversitet

    UKÄ forskningsämne

    Datavetenskap (datalogi)

    Publikationens identifierare

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

    Permanent länk till denna sida (URI)

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