Name: Learning from Data Streams in Evolving Environments: Methods and Applications (en Inglés)
SKU: 57110533
Price: 104.67 USD
Availability: InStock
Author: Sayed-Mouchaweh, Moamar
ISBN: 9783030078621

portada Learning from Data Streams in Evolving Environments: Methods and Applications (en Inglés)

Learning from Data Streams in Evolving Environments: Methods and Applications (en Inglés)

Formato

Libro Físico

Editorial

Springer

Autor

Sayed-Mouchaweh, Moamar

Idioma

Inglés

N° páginas

317

Encuadernación

Tapa Blanda

ISBN13

9783030078621

Categorías

Control de calidad industrial
Ingeniería de las comunicaciones/las telecomunicaciones
Minería de datos («data mining»)

Learning from Data Streams in Evolving Environments: Methods and Applications (en Inglés)

Sayed-Mouchaweh, Moamar (Autor) · Springer · Tapa Blanda

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Reseña del libro "Learning from Data Streams in Evolving Environments: Methods and Applications (en Inglés)"

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.