TY  - BOOK
AU  - Wang,Dan
AU  - Han,Zhu
ED  - SpringerLink (Online service)
TI  - Sublinear Algorithms for Big Data Applications
T2  - SpringerBriefs in Computer Science,
SN  - 9783319204482
AV  - QA76.9.D3 
U1  - 005.74 23
PY  - 2015///
CY  - Cham
PB  - Springer International Publishing, Imprint: Springer
KW  - Computer Science
KW  - Computer communication systems
KW  - Database management
KW  - electrical engineering
KW  - Database Management
KW  - Computer Communication Networks
KW  - Communications Engineering, Networks
N1  - Introduction -- Basics for Sublinear Algorithms -- Applications for Wireless Sensor Networks -- Applications for Big Data Processing -- Applications for a Smart Grid -- Concluding Remarks
N2  - 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
UR  - http://dx.doi.org/10.1007/978-3-319-20448-2
ER  -