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

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 analys...

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Detalhes bibliográficos
Main Authors: Rübel, 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, Keränen, Soile V. E., Knowles, David W., Hendriks, Cris L. Luengo, Malik, Jitendra, Meredith, Jeremy, Messmer, Peter, Prabhat, Ushizima, Daniela, Weber, Gunther H., Wu, Kesheng
Formato: Artigo
Idioma:Inglês
Publicado em: 2010
Assuntos:
Article
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC3677775/
https://ncbi.nlm.nih.gov/pubmed/23762211
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.procs.2010.04.197
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