Learning from Data Streams in Evolving Environments
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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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Author
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Highlights
  • Language: English
  • Binding: Hardcover
  • Publisher: Springer International Publishing AG
  • Genre: Technology & Engineering
  • ISBN: 9783319898025, 9783319898025
  • Pages: 317
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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Specifications
Book Details
Imprint
  • Springer International Publishing AG
Dimensions
Height
  • 235 mm
Length
  • 155 mm
Weight
  • 654 gr
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