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2 - Data Parallelism: The Supporting Architecture
- from Part I - Overview of Big Data Applications page
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- Signal Processing and Networking for Big Data Applications
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- 18 May 2017
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- 27 April 2017, pp 11-30
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1 - Introduction
- from Part I - Overview of Big Data Applications page
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- Signal Processing and Networking for Big Data Applications
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- 18 May 2017
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- 27 April 2017, pp 3-10
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8 - Compressive Sensing-Based Big Data Analysis
- from Part III - Big Data Applications
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- Signal Processing and Networking for Big Data Applications
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- 18 May 2017
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- 27 April 2017, pp 171-195
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12 - Big Data Optimization for Smart Grid Systems
- from Part III - Big Data Applications
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- Signal Processing and Networking for Big Data Applications
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- 18 May 2017
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- 27 April 2017, pp 259-282
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3 - First-Order Methods
- from Part II - Methodology and Mathematical Background
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- Signal Processing and Networking for Big Data Applications
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- 18 May 2017
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- 27 April 2017, pp 33-57
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6 - Tensor for Big Data
- from Part II - Methodology and Mathematical Background
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- Signal Processing and Networking for Big Data Applications
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- 18 May 2017
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- 27 April 2017, pp 108-125
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14 - Massive Data Collection Using Wireless Sensor Networks
- from Part III - Big Data Applications
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- Signal Processing and Networking for Big Data Applications
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- 18 May 2017
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- 27 April 2017, pp 301-321
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Index
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- Signal Processing and Networking for Big Data Applications
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- 27 April 2017, pp 361-362
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5 - Sublinear Algorithms
- from Part II - Methodology and Mathematical Background
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- Signal Processing and Networking for Big Data Applications
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- 18 May 2017
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- 27 April 2017, pp 92-107
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Signal Processing and Networking for Big Data Applications
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- 18 May 2017
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- 27 April 2017
Part I - Overview of Big Data Applications page
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- Signal Processing and Networking for Big Data Applications
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- 18 May 2017
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- 27 April 2017, pp 1-2
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Part III - Big Data Applications
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- Signal Processing and Networking for Big Data Applications
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- 18 May 2017
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- 27 April 2017, pp 169-170
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11 - Big Data Optimization for Communication Networks
- from Part III - Big Data Applications
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- Signal Processing and Networking for Big Data Applications
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- 18 May 2017
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- 27 April 2017, pp 236-258
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13 - Processing Large Data Sets in MapReduce
- from Part III - Big Data Applications
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- Signal Processing and Networking for Big Data Applications
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- 18 May 2017
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- 27 April 2017, pp 283-300
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Dedication
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- Signal Processing and Networking for Big Data Applications
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- 27 April 2017, pp v-vi
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Contents
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- Signal Processing and Networking for Big Data Applications
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- 18 May 2017
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- 27 April 2017, pp vii-xii
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Frontmatter
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- Signal Processing and Networking for Big Data Applications
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- 27 April 2017, pp i-iv
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10 - Optimization of Finite Sums
- from Part III - Big Data Applications
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- Signal Processing and Networking for Big Data Applications
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- 18 May 2017
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- 27 April 2017, pp 225-235
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Part II - Methodology and Mathematical Background
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- Signal Processing and Networking for Big Data Applications
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- 18 May 2017
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- 27 April 2017, pp 31-32
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7 - Deep Learning and Applications
- from Part II - Methodology and Mathematical Background
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- Signal Processing and Networking for Big Data Applications
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- 18 May 2017
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- 27 April 2017, pp 126-168
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