Artículos en revistas:
Data-Intensive Architecture for Scientific Knowledge Discovery
Año:2012
Áreas de investigación
- Ciencias de la computación y tecnología informática
Datos
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Descripción
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| This paper presents a data-intensive architecture that demonstrates the ability to support applications from a wide range of application domains, and support the different types of users involved in defining, designing and executing data-intensive processing tasks. The prototype architecture is introduced, and the pivotal role of DISPEL as a canonical language is explained. The architecture promotes the exploration and exploitation of distributed and heterogeneous data and spans the complete knowledge discovery process, from data preparation, to analysis, to evaluation and reiteration. The architecture evaluation included large-scale applications from astronomy, cosmology, hydrology, functional genetics, imaging processing and seismology. | |
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Internacional
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Si |
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JCR del ISI
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Si |
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Título de la revista
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Distributed And Parallel Databases |
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ISSN
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0926-8782 |
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Factor de impacto JCR
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0,286 |
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Información de impacto
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Volumen
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30 |
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DOI
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Número de revista
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Desde la página
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307 |
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Hasta la página
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324 |
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Mes
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AGOSTO |
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Ranking
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No disponible aún: 91/99 (Q4) en Computer Science/Theory&Methods en 2011, y 121/133 (Q4) en Computer Science / Information Systems en 2011 |
Ver publicación en Archivo digital upm
Esta actividad pertenece a memorias de investigación
Participantes
- Autor: Oscar Corcho Garcia UPM
Grupos de investigación, Departamentos, Centros e Institutos de I+D+i relacionados
- Creador: Grupo de Investigación: Ontology Engineering Group
- Departamento: Inteligencia Artificial