Sublinear Algorithms for Big Data Applications (SpringerBriefs in Computer Science) [9783319204475]

Overview

The brief focuses on applying sublinear algorithms to manage critical big data challenges. The text offers an essential introduction to sublinear algorithms, explaining why they are vital to large scale data systems. It also demonstrates how to apply sublinear algorithms to three familiar big data applications: wireless sensor networks, big data processing in Map Reduce and smart grids. These applications present common experiences, bridging the theoretical advances of sublinear algorithms and the application domain. Sublinear Algorithms for Big Data Applications is suitable for researchers, engineers and graduate students in the computer science, communications and signal processing communities.

The book, Sublinear Algorithms for Big Data Applications (SpringerBriefs in Computer Science) [Bulk, Wholesale, Quantity] ISBN#9783319204475 in Paperback by Dan Wang, Zhu Han may be ordered in bulk quantities. Minimum starts at 25 copies. Availability based on publisher status and quantity being ordered.