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Big Data and Information Theory (Hardcover)
Loot Price: R3,969
Discovery Miles 39 690
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Big Data and Information Theory (Hardcover)
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Big Data and Information Theory are a binding force between various
areas of knowledge that allow for societal advancement. Rapid
development of data analytic and information theory allows
companies to store vast amounts of information about production,
inventory, service, and consumer activities. More powerful CPUs and
cloud computing make it possible to do complex optimization instead
of using heuristic algorithms, as well as instant rather than
offline decision-making. The era of "big data" challenges includes
analysis, capture, curation, search, sharing, storage, transfer,
visualization, and privacy violations. Big data calls for better
integration of optimization, statistics, and data mining. In
response to these challenges this book brings together leading
researchers and engineers to exchange and share their experiences
and research results about big data and information theory
applications in various areas. This book covers a broad range of
topics including statistics, data mining, data warehouse
implementation, engineering management in large-scale
infrastructure systems, data-driven sustainable supply chain
network, information technology service offshoring project issues,
online rumors governance, preliminary cost estimation, and
information system project selection. The chapters in this book
were originally published in the journal, International Journal of
Management Science and Engineering Management.
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