Sublinear Algorithms for Big Data Applications
Published on 16. July 2015
XI, 85 pages
978-3-319-20448-2 (ISBN)
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.
Reviews / Votes
"Wang and Han's book focuses on sublinear algorithms for processing big data. . For the researcher, this book also shows that there is room for improvement and new discoveries in this flourishing area. . The book is thus recommended mainly to researchers, but just as a piece of the bigger puzzle of sublinear algorithms for big data processing and applications." (Corrado Mencar, Computing Reviews, computingreviews.com, August, 2016)
More details
Series
Edition
1st ed. 2015
Language
English
Place of publication
Cham
Switzerland
Publishing group
Springer International Publishing
Target group
Professional and scholarly
Product notice
Reflowable
Illustrations
XI, 85 p. 30 illus., 20 illus. in color.
File size
1,97 MB
ISBN-13
978-3-319-20448-2 (9783319204482)
DOI
10.1007/978-3-319-20448-2
Schweitzer Classification
Other editions
Additional editions
Dan Wang | Zhu Han
Sublinear Algorithms for Big Data Applications
Book
08/2015
Springer
€53.49
Shipment within 10-15 days
Persons
Content
Introduction.- Basics for Sublinear Algorithms.- Applications for Wireless Sensor Networks.- Applications for Big Data Processing.- Applications for a Smart Grid.- Concluding Remarks.
