Big Data over Networks

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Shuguang Cui, Alfred O. Hero, III, Zhi-Quan Luo, Josť M. F. Moura
Cambridge University Press, Jan 14, 2016 - Computers - 457 pages
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Utilising both key mathematical tools and state-of-the-art research results, this text explores the principles underpinning large-scale information processing over networks and examines the crucial interaction between big data and its associated communication, social and biological networks. Written by experts in the diverse fields of machine learning, optimisation, statistics, signal processing, networking, communications, sociology and biology, this book employs two complementary approaches: first analysing how the underlying network constrains the upper-layer of collaborative big data processing, and second, examining how big data processing may boost performance in various networks. Unifying the broad scope of the book is the rigorous mathematical treatment of the subjects, which is enriched by in-depth discussion of future directions and numerous open-ended problems that conclude each chapter. Readers will be able to master the fundamental principles for dealing with big data over large systems, making it essential reading for graduate students, scientific researchers and industry practitioners alike.
 

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Contents

solution methods and applications
3
References
31
Sparsityaware distributed learning
37
Optimization algorithms for big data with application in wireless networks
66
References
97
Big data analytics systems
137
References
158
References
178
References
242
mapping topic networks in Twitter data
278
Acknowledgements
298
validation and uncertainty
337
References
360
Genesetbased inference of biological network topologies from big molecular
391
References
406
populations
424

challenges and opportunities
180
Acknowledgement
211
Big data processing for smart grid security
217
References
432
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About the author (2016)

Shuguang (Robert) Cui is an Associate Professor at Texas A&M University. His is a Fellow of IEEE and was selected as a Highly Cited Researcher by Thomson Reuters in 2014.

Alfred O. Hero, III is R. Jamison and Betty Williams Professor of Engineering at the University of Michigan, Ann Arbor, with appointments in the Departments of Electrical Engineering and Computer Science, Biomedical Engineering and Statistics. He is a Fellow of the IEEE.

Zhi-Quan (Tom) Luo is a Professor at the University of Minnesota. He has served as the Editor-in-Chief of IEEE Transactions on Signal Processing and is a Fellow of the IEEE, SIAM, and the Royal Society of Canada.

Josť M. F. Moura is Philip L. and Marsha Dowd University Professor at Carnegie Mellon University, with appointments in the Departments of Electrical and Computer Engineering and, by courtesy, of Biomedical Engineering. He is a Fellow of IEEE and AAAS, a corresponding member of the Academy of Sciences of Portugal, and a member of the US NAE.