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Handbook of Big Data Analytics

Handbook of Big Data Analytics - Springer Handbooks of Computational Statistics

Paperback (10 Dec 2019)

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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: 9783030132385
Publisher: Springer International Publishing
Imprint: Springer
Pub date:
Language: English
Number of pages: 538
Weight: 757g
Height: 235mm
Width: 155mm
Spine width: 28mm