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Big data over networks

Contributor(s): Cui, shuguang [Editor] | Luo, Zhi-Quan [Editor] | Hero, Alfred O [Editor] | Moura, Jose M.F [Editor].
Material type: materialTypeLabelBookPublisher: UK Cambridge university press 2016Description: xx, 438 p.ISBN: 9781107099005.Subject(s): Big data | Computer networks | Computer networks - Mathematics | System analysis - Data processing | Wireless communication systemsDDC classification: 005.7 Summary: 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. http://www.cambridge.org/catalogue/catalogue.asp?isbn=9781107099005
List(s) this item appears in: Prof. A. K. Laha
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Item type Current location Collection Call number Status Date due Barcode
Books Books Vikram Sarabhai Library
General Stacks
Non Fiction 005.7 B4 (Browse shelf) Available 194399

Table of Contents:


Part I: Mathematical foundations
Part II: Big data over cyber networks
Part III: Big data over social networks
Part IV: Big data over biological networks


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.


http://www.cambridge.org/catalogue/catalogue.asp?isbn=9781107099005


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