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Big Data Optimization: Recent Developments and Challenges

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Cover of 'Big Data Optimization: Recent Developments and Challenges'

Table of Contents

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    Book Overview
  2. Altmetric Badge
    Chapter 1 Big Data: Who, What and Where? Social, Cognitive and Journals Map of Big Data Publications with Focus on Optimization
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    Chapter 2 Setting Up a Big Data Project: Challenges, Opportunities, Technologies and Optimization
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    Chapter 3 Optimizing Intelligent Reduction Techniques for Big Data
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    Chapter 4 Performance Tools for Big Data Optimization
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    Chapter 5 Optimising Big Images
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    Chapter 6 Interlinking Big Data to Web of Data
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    Chapter 7 Topology, Big Data and Optimization
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    Chapter 8 Applications of Big Data Analytics Tools for Data Management
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    Chapter 9 Optimizing Access Policies for Big Data Repositories: Latency Variables and the Genome Commons
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    Chapter 10 Big Data Optimization via Next Generation Data Center Architecture
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    Chapter 11 Big Data Optimization Within Real World Monitoring Constraints
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    Chapter 12 Smart Sampling and Optimal Dimensionality Reduction of Big Data Using Compressed Sensing
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    Chapter 13 Optimized Management of BIG Data Produced in Brain Disorder Rehabilitation
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    Chapter 14 Big Data Optimization in Maritime Logistics
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    Chapter 15 Big Network Analytics Based on Nonconvex Optimization
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    Chapter 16 Large-Scale and Big Optimization Based on Hadoop
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    Chapter 17 Computational Approaches in Large-Scale Unconstrained Optimization
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    Chapter 18 Numerical Methods for Large-Scale Nonsmooth Optimization
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    Chapter 19 Metaheuristics for Continuous Optimization of High-Dimensional Problems: State of the Art and Perspectives
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    Chapter 20 Convergent Parallel Algorithms for Big Data Optimization Problems
Attention for Chapter 7: Topology, Big Data and Optimization
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Chapter title
Topology, Big Data and Optimization
Chapter number 7
Book title
Big Data Optimization: Recent Developments and Challenges
Published by
Springer International Publishing, May 2016
DOI 10.1007/978-3-319-30265-2_7
Book ISBNs
978-3-31-930263-8, 978-3-31-930265-2
Authors

Mikael Vejdemo-Johansson, Primoz Skraba

Editors

Ali Emrouznejad

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X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
 Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 11 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 3 27%
Lecturer 2 18%
Student > Ph. D. Student 2 18%
Student > Bachelor 1 9%
Researcher 1 9%
Other 1 9%
Unknown 1 9%
Readers by discipline Count As %
Engineering 4 36%
Computer Science 2 18%
Mathematics 1 9%
Chemistry 1 9%
Physics and Astronomy 1 9%
Other 0 0%
Unknown 2 18%

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