Liu Sh., McGree J., Ge Z., Xie J. Computational and Statistical Methods for Analysing Big Data with Applications

Chapman and Hall/CRC, 2016. — 470 p. — (Chapman & Hall/CRC Handbooks of Modern Statistical Methods). — ISBN: 1482249081, 9781482249088 Buhlmann P., Drineas P., Kane M., van der Laan M. Handbook of Big Data provides a state-of-the-art overview of the analysis of large-scale datasets. Featuring contributions from well-known experts in statistics and computer science, this...

New York: Springer, 2016. - 56p. Offers a condensed guide: short in length, but rich in notions and content for business people who do not have much time No technical language: completely understandable even for people with no technical background Deals with many different aspects of a big data strategy Created from direct experience in the field, as well as a series of...

Springer, 2016. — 333 p. — Studies in Big Data 16 — ISBN: 9783319269870 This edited volume is devoted to Big Data Analysis from a Machine Learning standpoint as presented by some of the most eminent researchers in this area. It demonstrates that Big Data Analysis opens up new research problems which were either never considered before, or were only considered within a limited...

Academic Press, 2009. — 864 p. — ISBN: 0123747651. Robert Nisbet, Pacific Capital Bank Corporation, Santa Barbara, CA, USA John Elder, Elder Research, Inc. and the University of Virginia, Charlottesville, USA Gary Miner, StatSoft, Inc. , Tulsa, OK, USA Description The Handbook of Statistical Analysis and Data Mining Applications is a comprehensive professional reference book...

InTech, 2016. — 112 p. — ISBN: 9789535124894 As technology advances, high volumes of valuable data are generated day by day in modern organizations. The management of such huge volumes of data has become a priority in these organizations, requiring new techniques for data management and data analysis in Big Data environments. These environments encompass many different fields...