SpringerBriefs in Computer Science

Sublinear Algorithms for Big Data Applications

Authors: Wang, Dan, Han, Zhu

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eBook $54.99
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  • ISBN 978-3-319-20448-2
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Softcover $69.99
price for USA in USD
  • ISBN 978-3-319-20447-5
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About this book

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

“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)


Table of contents (6 chapters)

Table of contents (6 chapters)

Buy this book

eBook $54.99
price for USA in USD
  • ISBN 978-3-319-20448-2
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover $69.99
price for USA in USD
  • ISBN 978-3-319-20447-5
  • Free shipping for individuals worldwide
  • Institutional customers should get in touch with their account manager
  • Covid-19 shipping restrictions
  • Usually ready to be dispatched within 3 to 5 business days, if in stock
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Bibliographic Information

Bibliographic Information
Book Title
Sublinear Algorithms for Big Data Applications
Authors
Series Title
SpringerBriefs in Computer Science
Copyright
2015
Publisher
Springer International Publishing
Copyright Holder
The Author(s)
eBook ISBN
978-3-319-20448-2
DOI
10.1007/978-3-319-20448-2
Softcover ISBN
978-3-319-20447-5
Series ISSN
2191-5768
Edition Number
1
Number of Pages
XI, 85
Number of Illustrations
10 b/w illustrations, 20 illustrations in colour
Topics