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Sublinear Algorithms for Big Data Applications (Paperback, 1st ed. 2015) Loot Price: R1,356
Discovery Miles 13 560
Repayment Terms: R127 pm x 12*
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Sublinear Algorithms for Big Data Applications (Paperback, 1st ed. 2015): Dan Wang, Zhu Han

Sublinear Algorithms for Big Data Applications (Paperback, 1st ed. 2015)

Dan Wang, Zhu Han

Series: SpringerBriefs in Computer Science

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Loot Price R1,356 Discovery Miles 13 560 | Repayment Terms: R127 pm x 12*

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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.

General

Imprint: Springer International Publishing AG
Country of origin: Switzerland
Series: SpringerBriefs in Computer Science
Release date: August 2015
First published: 2015
Authors: Dan Wang • Zhu Han
Dimensions: 235 x 155 x 5mm (L x W x T)
Format: Paperback
Pages: 85
Edition: 1st ed. 2015
ISBN-13: 978-3-319-20447-5
Categories: Books > Computing & IT > General theory of computing > Data structures
Books > Computing & IT > Computer programming > Algorithms & procedures
Books > Computing & IT > Computer communications & networking > General
Books > Computing & IT > Applications of computing > Signal processing
Books > Professional & Technical > Electronics & communications engineering > Communications engineering / telecommunications > WAP (wireless) technology
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LSN: 3-319-20447-5
Barcode: 9783319204475

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