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Learning from Data Streams in Evolving Environments
Methods and Applications
Produkt bewerten
Erhältlich:
Nicht auf Lager
Zustellung: Di, 07.04.2026
Versand: Kostenlos
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CHF 135.–
CHF 104.50
Beschreibung
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..
Spezifikationen
Sprache
- Englisch
Autor
- Moamar Sayed-Mouchaweh
Thema
- Elektronik: Regelungstechnik, Telekommunikation
- Bauwesen: Sicherheitssysteme
- Datenbanken: Data Mining
- Künstliche Intelligenz: Wissensbasierte Systeme
Kollektion
- Studies in Big Data
Zielgruppe
- Research
Erscheinungsjahr
- 2018
Erscheinungsland
- Schweiz
Format
- Buch (Hardcover)
Anzahl Seiten
- 317
