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Anotace knihy

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.

Parametry knihy

Zařazení knihy Knihy v angličtině Technology, engineering, agriculture Mechanical engineering & materials Production engineering

• Plný název: Learning from Data Streams in Evolving Environments
• Podnázev: Methods and Applications
• Autor: Moamar Sayed-Mouchaweh
• Jazyk: Angličtina
• Vazba: Pevná
• Počet stran: 317
• EAN: 9783319898025
• ISBN: 3319898027
• ID: 19191251
• Nakladatelství: Springer International Publishing AG
• Hmotnost: 658 g
• Rozměry: 235 × 155 × 23 mm
• Datum vydání: 09. August 2018

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