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Books > Computing & IT > Applications of computing > Databases > Data mining
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Learning from Data Streams in Evolving Environments - Methods and Applications (Hardcover, 1st ed. 2019)
Loot Price: R3,000
Discovery Miles 30 000
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Learning from Data Streams in Evolving Environments - Methods and Applications (Hardcover, 1st ed. 2019)
Series: Studies in Big Data, 41
Expected to ship within 10 - 15 working days
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This edited book covers recent advances of techniques, methods and
tools treating the problem of learning from data streams generated
by evolving non-stationary processes. The goal is to discuss and
overview the advanced techniques, methods and tools that are
dedicated to manage, exploit and interpret data streams in
non-stationary environments. The book includes the required
notions, definitions, and background to understand the problem of
learning from data streams in non-stationary environments and
synthesizes the state-of-the-art in the domain, discussing advanced
aspects and concepts and presenting open problems and future
challenges in this field. Provides multiple examples to facilitate
the understanding data streams in non-stationary environments;
Presents several application cases to show how the methods solve
different real world problems; Discusses the links between methods
to help stimulate new research and application directions.
General
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