Articoli correlati a Sublinear Algorithms for Big Data Applications

Sublinear Algorithms for Big Data Applications - Brossura

Libro 184 di 322: SpringerBriefs in Computer Science

Wang, Dan; Han, Zhu

 
9783319204475: Sublinear Algorithms for Big Data Applications
Brossura
ISBN 10: 3319204475 ISBN 13: 9783319204475
Casa editrice: Springer, 2015

Sinossi

The brief focuses on applying sublinear algorithms to manage critical big data challenges. The text offers an essential introduction to sublinear algorithms, explaining why they are vital to large scale data systems. It also demonstrates how to apply sublinear algorithms to three familiar big data applications: wireless sensor networks, big data processing in Map Reduce and smart grids. These applications present common experiences, bridging the theoretical advances of sublinear algorithms and the application domain. Sublinear Algorithms for Big Data Applications is suitable for researchers, engineers and graduate students in the computer science, communications and signal processing communities.

Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.

Dalla quarta di copertina

The brief focuses on applying sublinear algorithms to manage critical big data challenges. The text offers an essential introduction to sublinear algorithms, explaining why they are vital to large scale data systems. It also demonstrates how to apply sublinear algorithms to three familiar big data applications: wireless sensor networks, big data processing in Map Reduce and smart grids. These applications present common experiences, bridging the theoretical advances of sublinear algorithms and the application domain. Sublinear Algorithms for Big Data Applications is suitable for researchers, engineers and graduate students in the computer science, communications and signal processing communities.

Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.

Editore
Springer
Data di pubblicazione
2015
Lingua
Inglese
ISBN 10 
3319204475
ISBN 13 
9783319204475
Rilegatura
Copertina flessibile
Numero edizione
1
Numero di pagine
85
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