Erschienen: 22.03.2018 Abbildung von Sayed-Mouchaweh | Learning from Data Streams in Evolving Environments | 1st ed. 2019 | 2018 | Methods and Applications | 41

Sayed-Mouchaweh

Learning from Data Streams in Evolving Environments

Methods and Applications

Buch. Hardcover

1st ed. 2019. 2018

viii, 317 S.

Springer. ISBN 978-3-319-89802-5

Format (B x L): 15,5 x 23,5 cm

Gewicht: 654 g

Das Werk ist Teil der Reihe: Studies in Big Data; 41

Produktbeschreibung

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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