Image of Sublinear Algorithms for Big Data Applications
Bookmark Share

Text

Sublinear Algorithms for Big Data Applications

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.

Availability

No copy data

Detail Information
Series Title
SpringerBriefs in Computer Science
Call Number
-
Publisher
Cham : Springer.,
Collation
XI, 85
Language
English
ISBN/ISSN
978-3-319-20448-2
Classification
NONE
Content Type
text
Media Type
computer
Carrier Type
online resource
Edition
-
Subject(s)
Computer Science
Specific Detail Info
-
Statement of Responsibility
Other Information
Cataloger
Jemadi
Source
https://link.springer.com/content/pdf/10.1007/978-3-319-20448-2.pdf?pdf=button
Validator
-
Other version/related

No other version available

File Attachment
Comments
You must be logged in to post a comment