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Data mining techniques in grid computing environments /
Based around eleven international real life case studies and including contributions from leading experts in the field this groundbreaking book explores the need for the grid-enabling of data mining applications and provides a comprehensive study of the technology, techniques and management skills n...
| Clasificación: | Libro Electrónico |
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| Otros Autores: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Chichester, UK ; Hoboken, NJ :
Wiley-Blackwell,
2008.
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| Temas: | |
| Acceso en línea: | Texto completo (Requiere registro previo con correo institucional) |
Tabla de Contenidos:
- Data mining meets grid computing: time to dance?
- Data analysis services in the knowledge grid
- GridMiner: an advanced support for e-science analytics
- ADaM services: scientific data mining in the service-oriented architecture paradigm
- Mining for misconfigured machines in grid systems
- FAEHIM: federated analysis environment for heterogeneous intelligent mining
- Scalable and privacy preserving distributed data analysis over a service-oriented platform
- Building and using analytical workflows in Discovery Net
- Building workflows that traverse the bioninformatics data landscape
- Specifications of distributed data mining workflows with DataMiningGrid
- Antheater: service-oriented data mining
- DMGA: a generic brokering-based Data Mining Grid Architecture
- Grid-based data mining with the environmental scenario search engine (ESSE)
- Data pre-processing using OGSA-DAI.