Sublinear Algorithms for Big Data Applications (SpringerBriefs in Computer Science) - Softcover

Book 184 of 322: SpringerBriefs in Computer Science

Wang, Dan; Han, Zhu

 
9783319204475: Sublinear Algorithms for Big Data Applications (SpringerBriefs in Computer Science)
Softcover
ISBN 10: 3319204475 ISBN 13: 9783319204475
Publisher: Springer, 2015

Synopsis

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.

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Review

“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)

"About this title" may belong to another edition of this title.

Publisher
Springer
Publication date
2015
Language
English
ISBN 10 
3319204475
ISBN 13 
9783319204475
Binding
Paperback
Edition number
1
Number of pages
96

Other Popular Editions of the Same Title

9783319204499: Sublinear Algorithms for Big Data Applications

Featured Edition

ISBN 10:  3319204491 ISBN 13:  9783319204499
Publisher: Springer, 2015
Softcover