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Big Data over Networks
Paperback
by Shuguang Cui
SKU:9781107099005
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Utilizing both key mathematical tools and state-of-the-art research results, this textexplores the principles underpinning large-scale information processing over networksand 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, optimization, statistics,signal processing, networking, communications, sociology, and biology, this bookemploys two complementary approaches: first, analyzing how the underlying networkconstrains the upper layer of collaborative big data processing, and second, examininghow big data processing may boost performance in various networks. Unifyingthe 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-endedproblems that conclude each chapter.Readers will be able to master the fundamental principles for dealing with bigdata over large systems, making it essential reading for graduate students, scientificresearchers, and industry practitioners alike.
About the Author
Shuguang Cui is Professor at Texas A&M University. He is a Fellow of the IEEE andwas selected as a Highly Cited Researcher by Thomson Reuters, 2014.
Alfred O. Hero III is R. Jamison and Betty Williams Professor of Engineering at theUniversity of Michigan, Ann Arbor, with appointments in the departments of ElectricalEngineering and Computer Science, Biomedical Engineering and Statistics. He is aFellow of the IEEE.
Zhi-Quan Luo is Professor at the University of Minnesota. He has served as the Editorin-Chiefof IEEE Transactions on Signal Processing and is a Fellow of the IEEE, SIAM,and the Royal Society of Canada.
Jose M. F. Moura ´ is Philip L. and Marsha Dowd University Professor at CMU withappointments in the Departments of Electrical and Computer Engineering and, by courtesy,of Biomedical Engineering. He is a Fellow of the IEEE and the AAAS, a correspondingmember of the Academy of Sciences of Portugal, and a member of the USNAE.