Techniques and Environments for Big Data Analysis Parallel, Cloud, and Grid Computing /

This volume is aiming at a wide range of readers and researchers in the area of Big Data by presenting the recent advances in the fields of Big Data Analysis, as well as the techniques and tools used to analyze it. The book includes 10 distinct chapters providing a concise introduction to Big Data A...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor Corporativo: SpringerLink (Online service)
Otros Autores: Mishra, B. S.P (Editor ), Dehuri, Satchidananda (Editor ), Kim, Euiwhan (Editor ), Wang, Gi-Name (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Cham : Springer International Publishing : Imprint: Springer, 2016.
Edición:1st ed. 2016.
Colección:Studies in Big Data, 17
Temas:
Computational intelligence.
Data mining.
Artificial intelligence.
Computational Intelligence.
Data Mining and Knowledge Discovery.
Artificial Intelligence.
Acceso en línea:Texto Completo
Descripción
Sumario:This volume is aiming at a wide range of readers and researchers in the area of Big Data by presenting the recent advances in the fields of Big Data Analysis, as well as the techniques and tools used to analyze it. The book includes 10 distinct chapters providing a concise introduction to Big Data Analysis and recent Techniques and Environments for Big Data Analysis. It gives insight into how the expensive fitness evaluation of evolutionary learning can play a vital role in big data analysis by adopting Parallel, Grid, and Cloud computing environments.
Descripción Física:XI, 191 p. 103 illus., 76 illus. in color. online resource.
ISBN:9783319275208
ISSN:2197-6511 ;

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