000 02343nam a2200361 i 4500
001 CR9781316162750
003 UkCbUP
005 20240730160749.0
006 m|||||o||d||||||||
007 cr||||||||||||
008 140815s2016||||enk o ||1 0|eng|d
020 _a9781316162750 (ebook)
020 _z9781107099005 (hardback)
040 _aUkCbUP
_beng
_erda
_cUkCbUP
050 4 _aQA76.9.D32
_bB54 2016
082 0 4 _a005.7
_223
245 0 0 _aBig data over networks /
_cedited by Shuguang Cui [and three others].
264 1 _aCambridge :
_bCambridge University Press,
_c2016.
300 _a1 online resource (xx, 438 pages) :
_bdigital, PDF file(s).
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
500 _aTitle from publisher's bibliographic system (viewed on 01 Jan 2016).
520 _aUtilising 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.
650 0 _aBig data.
_94174
650 0 _aBig data
_xMathematics.
_971394
650 0 _aComputer networks.
_93740
650 0 _aComputer networks
_xMathematics.
_974538
700 1 _aCui, Shuguang,
_eeditor.
_974539
776 0 8 _iPrint version:
_z9781107099005
856 4 0 _uhttps://doi.org/10.1017/CBO9781316162750
942 _cEBK
999 _c84155
_d84155