Téléchargez le livre : Learning from Data Streams in Evolving Environments

Learning from Data Streams in Evolving Environments

Methods and Applications de

Éditeur :

Springer


Collection :

Studies in Big Data

Paru le : 2018-07-28

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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.
Pages
317 pages
Collection
Studies in Big Data
Parution
2018-07-28
Marque
Springer
EAN papier
9783319898025
EAN PDF
9783319898032
Informations sur l'ebook
Nombre pages copiables
3
Nombre pages imprimables
31
Taille du fichier
9748 Ko
Prix
94,94 €
EAN EPUB
9783319898032
Informations sur l'ebook
Nombre pages copiables
3
Nombre pages imprimables
31
Taille du fichier
36086 Ko
Prix
94,94 €

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