Learning from Data Streams in Evolving Environments: Methods and Applications (Studies in Big Data)

  • 出版商: Springer
  • 出版日期: 2018-08-27
  • 售價: $5,960
  • 貴賓價: 9.5$5,662
  • 語言: 英文
  • 頁數: 317
  • 裝訂: Hardcover
  • ISBN: 3319898027
  • ISBN-13: 9783319898025
  • 相關分類: 大數據 Big-data

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商品描述

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.