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)

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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9783319204499: Sublinear Algorithms for Big Data Applications

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ISBN 10:  3319204491 ISBN 13:  9783319204499
Verlag: Springer, 2015
Softcover