Studies in Big Data

Big Data Optimization: Recent Developments and Challenges

Editors: Emrouznejad, Ali (Ed.)

  • Presents recent developments and challenges in big data optimization
  • Collects various recent algorithms in large-scale optimization all in one book
  • Presents useful big data optimization applications in a variety of industries, both for academics and practitioners
  • Include some guideline to use cloud computing and Hadoop in large-scale and big data optimization 
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Buy this book

eBook £67.99
price for United Kingdom (gross)
valid through November 5, 2017
  • ISBN 978-3-319-30265-2
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover £86.00
price for United Kingdom (gross)
valid through November 5, 2017
  • ISBN 978-3-319-30263-8
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
About this book

The main objective of this book is to provide the necessary background to work with big data by introducing some novel optimization algorithms and codes capable of working in the big data setting as well as introducing some applications in big data optimization for both academics and practitioners interested, and to benefit society, industry, academia, and government. Presenting applications in a variety of industries, this book will be useful for the researchers aiming to analyses large scale data. Several optimization algorithms for big data including convergent parallel algorithms, limited memory bundle algorithm, diagonal bundle method, convergent parallel algorithms, network analytics, and many more have been explored in this book.

Reviews

“It can be used as a reference book on big data, to obtain a broad view of the direction and landscape. In addition, it can be used by specialists in specific areas of big data, especially optimization-related areas. In this respect, the preview of chapter titles and brief explanations provided in this review reveal specific areas of interest for the intended specialists. I like this edited volume and recommend it.” (M. M. Tanik, Computing Reviews, January, 2017)


Table of contents (20 chapters)

  • Big Data: Who, What and Where? Social, Cognitive and Journals Map of Big Data Publications with Focus on Optimization

    Emrouznejad, Ali (et al.)

    Pages 1-16

  • Setting Up a Big Data Project: Challenges, Opportunities, Technologies and Optimization

    Zicari, Roberto V. (et al.)

    Pages 17-47

  • Optimizing Intelligent Reduction Techniques for Big Data

    Pop, Florin (et al.)

    Pages 49-70

  • Performance Tools for Big Data Optimization

    Li, Yan (et al.)

    Pages 71-96

  • Optimising Big Images

    Valkonen, Tuomo

    Pages 97-131

Buy this book

eBook £67.99
price for United Kingdom (gross)
valid through November 5, 2017
  • ISBN 978-3-319-30265-2
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover £86.00
price for United Kingdom (gross)
valid through November 5, 2017
  • ISBN 978-3-319-30263-8
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
Big Data Optimization: Recent Developments and Challenges
Editors
  • Ali Emrouznejad
Series Title
Studies in Big Data
Series Volume
18
Copyright
2016
Publisher
Springer International Publishing
Copyright Holder
Springer International Publishing Switzerland
eBook ISBN
978-3-319-30265-2
DOI
10.1007/978-3-319-30265-2
Hardcover ISBN
978-3-319-30263-8
Series ISSN
2197-6503
Edition Number
1
Number of Pages
XV, 487
Number of Illustrations and Tables
22 b/w illustrations, 160 illustrations in colour
Topics