Sublinear Algorithms for Big Data Applications Paperback / softback
by Dan Wang, Zhu Han
Part of the SpringerBriefs in Computer Science series
Paperback / softback
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.
Information
-
Item not Available
- Format:Paperback / softback
- Pages:85 pages, 20 Illustrations, color; 10 Illustrations, black and white; XI, 85 p. 30 illus., 20 illus.
- Publisher:Springer International Publishing AG
- Publication Date:25/07/2015
- Category:
- ISBN:9783319204475
Other Formats
- PDF from £38.24
Information
-
Item not Available
- Format:Paperback / softback
- Pages:85 pages, 20 Illustrations, color; 10 Illustrations, black and white; XI, 85 p. 30 illus., 20 illus.
- Publisher:Springer International Publishing AG
- Publication Date:25/07/2015
- Category:
- ISBN:9783319204475