Handbook of Big Data Analytics (Springer Handbooks of Computational Statistics)

Addressing a broad range of big data analytics in crossdisciplinary applications, this essential handbook focuses on the statistical prospects offered by recent developments in this field. To do so, it covers statistical methods for highdimensional problems, algorithmic designs, computation tools, analysis flows and the softwarehardware codesigns 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.