Learning from Data Streams in Evolving Environments

Released on by Moamar Sayed-Mouchaweh
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  • Learning from Data Streams in Evolving Environments Book Detail

  • Author : Moamar Sayed-Mouchaweh
  • Release Date : 2018-07-28
  • Publisher : Springer
  • Genre : Technology & Engineering
  • Pages : 320
  • ISBN 13 : 3319898035
  • File Size : 47,47 MB
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Learning from Data Streams in Evolving Environments by Moamar Sayed-Mouchaweh PDF Summary

Book 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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