Learning from Data Streams in Evolving Environments

Methods and Applications

Nonfiction, Science & Nature, Technology, Quality Control, Telecommunications
Cover of the book Learning from Data Streams in Evolving Environments by , Springer International Publishing
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Author: ISBN: 9783319898032
Publisher: Springer International Publishing Publication: July 28, 2018
Imprint: Springer Language: English
Author:
ISBN: 9783319898032
Publisher: Springer International Publishing
Publication: July 28, 2018
Imprint: Springer
Language: English

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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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.

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