Sublinear Algorithms for Big Data Applications is popular PDF and ePub book, written by Dan Wang in 2015-07-16, it is a fantastic choice for those who relish reading online the Computers genre. Let's immerse ourselves in this engaging Computers book by exploring the summary and details provided below. Remember, Sublinear Algorithms for Big Data Applications can be Read Online from any device for your convenience.
Sublinear Algorithms for Big Data Applications Book PDF Summary
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.
Detail Book of Sublinear Algorithms for Big Data Applications PDF
- Author : Dan Wang
- Release : 16 July 2015
- Publisher : Springer
- ISBN : 9783319204482
- Genre : Computers
- Total Page : 94 pages
- Language : English
- PDF File Size : 16,8 Mb
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