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Herausgeber: 
  • Arunkumar Thangavelu
  • Arun Kumar Sangaiah
  • Venkatesan Meenakshi Sundaram
  • Cognitive Computing for Big Data Systems Over IoT: Frameworks, Tools and Applications 
     

    (Buch)
    Dieser Artikel gilt, aufgrund seiner Grösse, beim Versand als 3 Artikel!


    Übersicht

    Auf mobile öffnen
     
    Lieferstatus:   Auf Bestellung (Lieferzeit unbekannt)
    Veröffentlichung:  Januar 2018  
    Genre:  Naturwissensch., Medizin, Technik 
     
    B / Computational Intelligence / Data Mining / Data Mining and Knowledge Discovery / engineering / Expert systems / knowledge-based systems / Wissensbasierte Systeme, Expertensysteme
    ISBN:  9783319706870 
    EAN-Code: 
    9783319706870 
    Verlag:  Springer EN 
    Einband:  Kartoniert  
    Sprache:  English  
    Serie:  #14 - Lecture Notes on Data Engineering and Communications Technologies  
    Dimensionen:  H 235 mm / B 155 mm / D 21 mm 
    Gewicht:  805 gr 
    Seiten:  375 
    Illustration:  XVI, 375 p. 81 illus., 51 illus. in color., farbige Illustrationen, schwarz-weiss Illustrationen 
    Zus. Info:  EUDR exemption - product or manufacturing materials placed on the market prior to 31.12.2025. 
    Bewertung: Titel bewerten / Meinung schreiben
    Inhalt:
    This book brings a high level of fluidity to analytics and addresses recent trends, innovative ideas, challenges and cognitive computing solutions in big data and the Internet of Things (IoT). It explores domain knowledge, data science reasoning and cognitive methods in the context of the IoT, extending current data science approaches by incorporating insights from experts as well as a notion of artificial intelligence, and performing inferences on the knowledge

    The book provides a comprehensive overview of the constituent paradigms underlying cognitive computing methods, which illustrate the increased focus on big data in IoT problems as they evolve. It includes novel, in-depth fundamental research contributions from a methodological/application in data science accomplishing sustainable solution for the future perspective.

    Mainly focusing on the design of the best cognitive embedded data science technologies to process and analyze the large amount of data collectedthrough the IoT, and aid better decision making, the book discusses adapting decision-making approaches under cognitive computing paradigms to demonstrate how the proposed procedures as well as big data and IoT problems can be handled in practice.

    This book is a valuable resource for scientists, professionals, researchers, and academicians dealing with the new challenges and advances in the specific areas of cognitive computing and data science approaches.

      



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