Handbook of Big Data Analytics

Resource Information

The work Handbook of Big Data Analytics represents a distinct intellectual or artistic creation found in European University Institute. This resource is a combination of several types including: Work, Language Material, Books.

Label

Handbook of Big Data Analytics

Statement of responsibility

edited by Wolfgang Karl Härdle, Henry Horng-Shing Lu, Xiaotong Shen

Contributor

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

Editor

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

Subject

• Statistics
• Data mining

Language

eng

Summary

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.--

Member of

• Springer Handbooks of Computational Statistics,

Assigning source

Provided by publisher

Image bit depth

0

Literary form

non fiction

Nature of contents

dictionaries

Series statement

• Springer eBooks.
• Springer eBooks
• Springer Handbooks of Computational Statistics,