Handbook of Big Data Analytics

Härdle, Wolfgang Karl; Lu, Henry Horng-Shing; Shen, Xiaotong

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.  

Details

Published by: Springer

Publication Date: 2019-12-10

Format: Paperback

ISBN-13: 9783030132385

DOI: 10.1007/978-3-319-18284-1

Dimensions: 235.0cm x155.0cm

Pages: 538.0