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Handbook of Big Data Analytics

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... Full description

1st Person: Härdle, Wolfgang Karl [editor]
Additional Corporate Bodies: SpringerLink (Online service)
Additional Persons: Lu, Henry Horng-Shing [editor]; Shen, Xiaotong [editor]
Type of Publication: Book
Published: Cham Springer International Publishing 2018, 2018
Edition: 1st ed. 2018
Series: Springer Handbooks of Computational Statistics
Keywords: Mathematical statistics
Mathematical and Computational Engineering
Engineering mathematics
Data mining
Statistical Theory and Methods
Data Mining and Knowledge Discovery
Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences
Statistics and Computing/Statistics Programs
Online: Volltext
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