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Techniques and Environments for Big Data Analysis: Parallel, Cloud, and Grid Computing: 17 - Brossura
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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.
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This volume is aiming at a wide range of readers andresearchers in the area of Big Data by presenting the recent advances in the fieldsof Big Data Analysis, as well as the techniques and tools used to analyze it. The book includes 10 distinct chaptersproviding a concise introduction to Big Data Analysis and recent Techniques and Environments forBig Data Analysis. It gives insightinto how the expensive fitness evaluation of evolutionarylearning can play a vital role in big data analysis by adopting Parallel, Grid, and Cloud computing environments.
Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.
- EditoreSpringer
- Data di pubblicazione2018
- ISBN 10 3319801600
- ISBN 13 9783319801605
- RilegaturaCopertina flessibile
- LinguaInglese
- Numero di pagine204
- RedattoreMishra B. S.P., Dehuri Satchidananda, Kim Euiwhan, Wang Gi-Name
- Contatto del produttorenon disponibile
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Techniques and Environments for Big Data Analysis
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Springer International Publishing, 2018
ISBN 10: 3319801600
ISBN 13: 9783319801605
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Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This volume is aiming at a wide range of readers andresearchers in the area of Big Data by presenting the recent advances in the fieldsof Big Data Analysis, as well as the techniques and tools usedto analyze it. The book includes 10 distinct chaptersproviding a concise introduction to Big Data Analysis and recent Techniques and Environments forBig Data Analysis. It gives insightinto how the expensive fitness evaluation of evolutionarylearning can play a vital role in big data analysis by adopting Parallel, Grid, and Cloud computing environments. 204 pp. Englisch. Codice articolo 9783319801605
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Techniques and Environments for Big Data Analysis : Parallel, Cloud, and Grid Computing
ISBN 10: 3319801600
ISBN 13: 9783319801605
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Taschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - This volume is aiming at a wide range of readers andresearchers in the area of Big Data by presenting the recent advances in the fieldsof Big Data Analysis, as well as the techniques and tools usedto analyze it. The book includes 10 distinct chaptersproviding a concise introduction to Big Data Analysis and recent Techniques and Environments forBig Data Analysis. It gives insightinto how the expensive fitness evaluation of evolutionarylearning can play a vital role in big data analysis by adopting Parallel, Grid, and Cloud computing environments. Codice articolo 9783319801605
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Techniques and Environments for Big Data Analysis
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ISBN 13: 9783319801605
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Taschenbuch. Condizione: Neu. Neuware -This volume is aiming at a wide range of readers andresearchers in the area of Big Data by presenting the recent advances in the fieldsof Big Data Analysis, as well as the techniques and tools used to analyze it. The book includes 10 distinct chaptersproviding a concise introduction to Big Data Analysis and recent Techniques and Environments forBig Data Analysis. It gives insightinto how the expensive fitness evaluation of evolutionarylearning can play a vital role in big data analysis by adopting Parallel, Grid, and Cloud computing environments.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 204 pp. Englisch. Codice articolo 9783319801605
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Techniques and Environments for Big Data Analysis: Parallel, Cloud, and Grid Computing (Studies in Big Data, 17)
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