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portada Learning From Data Streams in Evolving Environments: Methods and Applications (Studies in big Data, 41)
Type
Physical Book
Publisher
Author
Language
English
Format
Hardcover
ISBN13
9783319898025

Learning From Data Streams in Evolving Environments: Methods and Applications (Studies in big Data, 41)

Sayed-Mouchaweh, Moamar (Author) · Springer · Hardcover

Learning From Data Streams in Evolving Environments: Methods and Applications (Studies in big Data, 41) - Sayed-Mouchaweh, Moamar

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Synopsis "Learning From Data Streams in Evolving Environments: Methods and Applications (Studies in big Data, 41) "

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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