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Handbook of Big Data Analytics

Handbook of Big Data Analytics - Springer Handbooks of Computational Statistics

1st ed. 2017

Hardback (01 Aug 2018)

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Publisher's Synopsis

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.  

Book information

ISBN: 9783319182834
Publisher: Springer International Publishing
Imprint: Springer
Pub date:
Edition: 1st ed. 2017
DEWEY: 005.7
DEWEY edition: 23
Language: English
Number of pages: 538
Weight: 920g
Height: 164mm
Width: 242mm
Spine width: 36mm