Handbook of Big Data Analytics (Paperback, Softcover reprint of the original 1st ed. 2018)


Addressing a broad range of big data analytics in cross-disciplinary applications, this essential handbook focuses on the statistical prospects offered by recent developments in this field. To do so, it covers statistical methods for high-dimensional problems, algorithmic designs, computation tools, analysis flows and the software-hardware co-designs that are needed to support insightful discoveries from big data. The book is primarily intended for statisticians, computer experts, engineers and application developers interested in using big data analytics with statistics. Readers should have a solid background in statistics and computer science.

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Product Description

Addressing a broad range of big data analytics in cross-disciplinary applications, this essential handbook focuses on the statistical prospects offered by recent developments in this field. To do so, it covers statistical methods for high-dimensional problems, algorithmic designs, computation tools, analysis flows and the software-hardware co-designs that are needed to support insightful discoveries from big data. The book is primarily intended for statisticians, computer experts, engineers and application developers interested in using big data analytics with statistics. Readers should have a solid background in statistics and computer science.

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Product Details

General

Imprint

Springer Nature Switzerland AG

Country of origin

Switzerland

Series

Springer Handbooks of Computational Statistics

Release date

December 2019

Availability

Expected to ship within 10 - 15 working days

First published

2018

Editors

, ,

Dimensions

235 x 155mm (L x W)

Format

Paperback

Pages

538

Edition

Softcover reprint of the original 1st ed. 2018

ISBN-13

978-3-03-013238-5

Barcode

9783030132385

Categories

LSN

3-03-013238-2



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