Techniques and Environments for Big Data Analysis: Parallel, Cloud, and Grid Computing: 17 - Brossura

Brossura

ISBN 10: 3319801600 ISBN 13: 9783319801605

Casa editrice: Springer, 2018

Riassunto

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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Dalla quarta di copertina

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.

Dettagli dell'edizione

• Editore: Springer
• Data di pubblicazione: 2018
• Lingua: Inglese
• ISBN 10: 3319801600
• ISBN 13: 9783319801605
• Rilegatura: Copertina flessibile
• Numero di pagine: 204
• Redattore: Mishra B. S.P., Dehuri Satchidananda, Kim Euiwhan, Wang Gi-Name
• Contatto del produttore: non disponibile
• Persona responsabile: CMN Printpool Inh. Mathis Neumann; https://www.also.com/ec/cms5/en_6000/6000/index.jsp; ; Friedrich-Karl-Str. 9; Hamburg; Germania