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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

• Plný název: Learning from Data Streams in Evolving Environments
• Autor: Moamar Sayed-Mouchaweh
• Jazyk: Angličtina
• Vazba: Brožovaná
• Počet stran: 317
• EAN: 9783030078621
• ISBN: 3030078620
• ID: 24462399
• Nakladatelství: Springer International Publishing
• Hmotnost: 504 g
• Rozměry: 235 × 155 × 18 mm
• Datum vydání: 14. December 2018

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