Download Sublinear Algorithms for Big Data Applications PDF

TitleSublinear Algorithms for Big Data Applications
Sub TitleSpringerBriefs in Computer Science
AuthorDan Wang (Author) Zhu Han (Author) About this book
CategoryComputer & Programming
LanguageEnglish
Region
TagsBig Data Data Mining
ISBN3319204475
Year2015
FormatPDF
Pages94
File Size1.9 MB
Total Download114
Description

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. Dan Wang (Author), Zhu Han (Author) About this book

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