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Sublinear Algorithms for Big Data Applications (SpringerBriefs in Computer Science) - Softcover

Buch 184 von 322: SpringerBriefs in Computer Science

Wang, Dan; Han, Zhu

 
9783319204475: Sublinear Algorithms for Big Data Applications (SpringerBriefs in Computer Science)
Softcover
ISBN 10: 3319204475 ISBN 13: 9783319204475
Verlag: Springer, 2015

Inhaltsangabe

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.

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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.

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Verlag
Springer
Erscheinungsdatum
2015
Sprache
Englisch
ISBN 10 
3319204475
ISBN 13 
9783319204475
Einband
Taschenbuch
Auflage
1
Anzahl der Seiten
96
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