The first book to present the common mathematical foundations of big data analysis across a range of applications and technologies. Today, the volume, velocity,

This volume features selected, refereed papers on various aspects of statistics, matrix theory and its applications to statistics, as well as related numerical

The aim of the book is to introduce basic concepts, main results, and widely applied mathematical tools in the spectral analysis of large dimensional random mat

This book provides an introduction to the mathematical and algorithmic foundations of data science, including machine learning, high-dimensional geometry, and a

In this textbook, basic mathematical models used in Big Data Analytics are presented and application-oriented references to relevant practical issues are made.