Big Data Analytics Methods and Applications /

• Corporate Author: SpringerLink (Online service)
• Other Authors: Pyne, Saumyadipta (Editor), Rao, B.L.S. Prakasa (Editor), Rao, S.B (Editor)
• Format: Electronic eBook
• Language: English
• Published: New Delhi : Springer India : Imprint: Springer, 2016.
• Subjects: Statistics.; Data mining.; Applied mathematics.; Engineering mathematics.; Statistics and Computing/Statistics Programs.; Statistics for Life Sciences, Medicine, Health Sciences.; Statistics for Social Science, Behavorial Science, Education, Public Policy, and Law.; Statistics for Business/Economics/Mathematical Finance/Insurance.; Data Mining and Knowledge Discovery.; Applications of Mathematics.

This book has a collection of articles written by Big Data experts to describe some of the cutting-edge methods and applications from their respective areas of interest, and provides the reader with a detailed overview of the field of Big Data Analytics as it is practiced today. The chapters cover t...