bokomslag Learning from Data Streams in Evolving Environments
Data & IT

Learning from Data Streams in Evolving Environments

Moamar Sayed-Mouchaweh

Pocket

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  • 317 sidor
  • 2018
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.
  • Författare: Moamar Sayed-Mouchaweh
  • Format: Pocket/Paperback
  • ISBN: 9783030078621
  • Språk: Engelska
  • Antal sidor: 317
  • Utgivningsdatum: 2018-12-14
  • Förlag: Springer Nature Switzerland AG