System Analysis and Data Mining: 609 - Rilegato

Rilegato

ISBN 10: 3031975286 ISBN 13: 9783031975288

Casa editrice: Springer-Nature New York Inc, 2025

Riassunto

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.

 

Su questo libro

Dalla quarta di copertina

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.

 

Dettagli dell'edizione

• Editore: Springer-Nature New York Inc
• Data di pubblicazione: 2025
• Lingua: Inglese
• ISBN 10: 3031975286
• ISBN 13: 9783031975288
• Rilegatura: Copertina rigida
• Numero di pagine: 450
• Redattore: Zgurovsky Michael, Pankratova Nataliya
• Contatto del produttore: ProductSafety@springernature.com; ProductSafety@springernature.com; ; Poststr. 9; Darmstadt; 64293; Germania