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Herausgeber: 
  • Michael Zgurovsky
  • Nataliya Pankratova
  • System Analysis and Data Mining 
     

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


    Übersicht

    Auf mobile öffnen
     
    Lieferstatus:   Auf Bestellung (Lieferzeit unbekannt)
    Veröffentlichung:  November 2025  
    Genre:  Naturwissensch., Medizin, Technik 
     
    Artificial Intelligence / Computational Intelligence / Data Engineering / Data Science / Data Set / Decision Support Method / Green Projects / Intelligent Computing Technologies
    ISBN:  9783031975288 
    EAN-Code: 
    9783031975288 
    Verlag:  Springer International Publishing 
    Einband:  Gebunden  
    Sprache:  English  
    Dimensionen:  H 235 mm / B 155 mm / D  
    Seiten:  466 
    Illustration:  IX, 466 p. 143 illus., 110 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 presents the latest scientific contributions by Ukrainian researchers and their international colleagues in four interrelated fields: systems analysis, systems mathematics, computational intelligence, and data mining. The included papers explore both the theoretical foundations and practical applications of cutting-edge technologies across a wide range of topics—including, but not limited to, global security, artificial intelligence, environmental risks, financial systems, health care, digital twins, distributed computing, assistive robotics, and other critical areas of human activity. These fields are united by the complexity of the systems involved, the presence of uncertainty, and multifactorial risks.

    The methods and models presented in this volume will be valuable for researchers, educators, graduate and postgraduate students, as well as practitioners who implement modern tools and knowledge in systems analysis, artificial intelligence, and data mining to drive innovation in the digital economy.

    This book makes a significant contribution to the advancement of a systems based approach to understanding global transformations. It highlights how the integration of fundamental science, mathematical modeling, and intelligent technologies can offer profound insights into complex phenomena and support informed decision-making in vital sectors of contemporary life.

      



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