Learning from Data Streams in Evolving Environments

Learning from Data Streams in Evolving Environments (English, Hardcover, unknown)

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Learning from Data Streams in Evolving Environments  (English, Hardcover, unknown)

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    Highlights
    • Language: English
    • Binding: Hardcover
    • Publisher: Springer International Publishing AG
    • Genre: Technology & Engineering
    • ISBN: 9783319898025, 9783319898025
    • Pages: 317
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  • Description
    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.
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    Book Details
    Imprint
    • Springer International Publishing AG
    Dimensions
    Height
    • 235 mm
    Length
    • 155 mm
    Weight
    • 658 gr
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