Handbook of Big Data Analytics

• Corporate Author: SpringerLink (Online service)
• Other Authors: Härdle, Wolfgang Karl (Editor, http://id.loc.gov/vocabulary/relators/edt), Lu, Henry Horng-Shing (Editor, http://id.loc.gov/vocabulary/relators/edt), Shen, Xiaotong (Editor, http://id.loc.gov/vocabulary/relators/edt)
• Format: Electronic eBook
• Language: English
• Published: Cham : Springer International Publishing : Imprint: Springer, 2018.
• Edition: 1st ed. 2018.
• Series: Springer Handbooks of Computational Statistics,
• Subjects: Statistics .; Data mining.; Applied mathematics.; Engineering mathematics.; Statistics and Computing/Statistics Programs.; Data Mining and Knowledge Discovery.; Mathematical and Computational Engineering.; Statistical Theory and Methods.; Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences.

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,...