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Books > Computing & IT > Applications of computing > Artificial intelligence
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Transactions on Large-Scale Data- and Knowledge-Centered Systems XX - Special Issue on Advanced Techniques for Big Data Management (Paperback, 2015 ed.)
Loot Price: R1,815
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Transactions on Large-Scale Data- and Knowledge-Centered Systems XX - Special Issue on Advanced Techniques for Big Data Management (Paperback, 2015 ed.)
Series: Transactions on Large-Scale Data- and Knowledge-Centered Systems, 9070
Expected to ship within 18 - 22 working days
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The LNCS journal Transactions on Large-Scale Data- and
Knowledge-Centered Systems focuses on data management, knowledge
discovery, and knowledge processing, which are core and hot topics
in computer science. Since the 1990s, the Internet has become the
main driving force behind application development in all domains.
An increase in the demand for resource sharing across different
sites connected through networks has led to an evolution of data-
and knowledge-management systems from centralized systems to
decentralized systems enabling large-scale distributed applications
providing high scalability. Current decentralized systems still
focus on data and knowledge as their main resource. Feasibility of
these systems relies basically on P2P (peer-to-peer) techniques and
the support of agent systems with scaling and decentralized
control. Synergy between grids, P2P systems, and agent technologies
is the key to data- and knowledge-centered systems in large-scale
environments. This, the 20th issue of Transactions on Large-Scale
Data- and Knowledge-Centered Systems, presents a representative and
useful selection of articles covering a wide range of important
topics in the domain of advanced techniques for big data
management. Big data has become a popular term, used to describe
the exponential growth and availability of data. The recent radical
expansion and integration of computation, networking, digital
devices, and data storage has provided a robust platform for the
explosion in big data, as well as being the means by which big data
are generated, processed, shared, and analyzed. In general, data
are only useful if meaning and value can be extracted from them.
Big data discovery enables data scientists and other analysts to
uncover patterns and correlations through analysis of large volumes
of data of diverse types. Insights gleaned from big data discovery
can provide businesses with significant competitive advantages,
leading to more successful marketing campaigns, decreased customer
churn, and reduced loss from fraud. In practice, the growing demand
for large-scale data processing and data analysis applications has
spurred the development of novel solutions from both industry and
academia.
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