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Books > Computing & IT > General theory of computing
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Applications of Big Data in Large- and Small-Scale Systems (Hardcover)
Loot Price: R7,372
Discovery Miles 73 720
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Applications of Big Data in Large- and Small-Scale Systems (Hardcover)
Expected to ship within 12 - 17 working days
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With new technologies, such as computer vision, internet of things,
mobile computing, e-governance and e-commerce, and wide
applications of social media, organizations generate a huge volume
of data and at a much faster rate than several years ago. Big data
in large-/small-scale systems, characterized by high volume,
diversity, and velocity, increasingly drives decision making and is
changing the landscape of business intelligence. From governments
to private organizations, from communities to individuals, all
areas are being affected by this shift. There is a high demand for
big data analytics that offer insights for computing efficiency,
knowledge discovery, problem solving, and event prediction. To
handle this demand and this increase in big data, there needs to be
research on innovative and optimized machine learning algorithms in
both large- and small-scale systems. Applications of Big Data in
Large- and Small-Scale Systems includes state-of-the-art research
findings on the latest development, up-to-date issues, and
challenges in the field of big data and presents the latest
innovative and intelligent applications related to big data. This
book encompasses big data in various multidisciplinary fields from
the medical field to agriculture, business research, and smart
cities. While highlighting topics including machine learning, cloud
computing, data visualization, and more, this book is a valuable
reference tool for computer scientists, data scientists and
analysts, engineers, practitioners, stakeholders, researchers,
academicians, and students interested in the versatile and
innovative use of big data in both large-scale and small-scale
systems.
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