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Big Data Over Networks
Shuguang Cui
€ 74.49
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Description for Big Data Over Networks
hardcover. Examines the crucial interaction between big data and communication, social and biological networks using critical mathematical tools and state-of-the-art research. Editor(s): Cui, Shuguang; Hero, Alfred O.; Luo, Zhi-Quan; Moura, Jose. Num Pages: 460 pages, 115 b/w illus. 30 tables. BIC Classification: UN; UT. Category: (P) Professional & Vocational; (U) Tertiary Education (US: College). Dimension: 247 x 174. .
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 ... Read more
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 ... Read more
Product Details
Format
Hardback
Publication date
2016
Publisher
Cambridge University Press United Kingdom
Number of pages
460
Condition
New
Number of Pages
457
Place of Publication
Cambridge, United Kingdom
ISBN
9781107099005
SKU
V9781107099005
Shipping Time
Usually ships in 7 to 11 working days
Ref
99-10
About Shuguang Cui
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 ... Read more
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