BÜCHER VERSANDKOSTENFREI INNERHALB DEUTSCHLANDS
The 6th Joint International Conference on AI, Big Data and Blockchain (AIBB 2025)
Springer
ISBN 978-3-032-04727-4
Standardpreis
Bibliografische Daten
Fachbuch
Buch. Softcover
2025
25 s/w-Abbildungen, 24 Farbabbildungen.
Umfang: x, 206 S.
Format (B x L): 15,5 x 23,5 cm
Verlag: Springer
ISBN: 978-3-032-04727-4
Weiterführende bibliografische Daten
Das Werk ist Teil der Reihe: Lecture Notes in Networks and Systems
Produktbeschreibung
This book brings together peer-reviewed research contributions exploring cutting-edge developments in AI, big data, and blockchain—fields that are transforming industries today. Written by leading experts, the chapters showcase advances in:
AI methodologies and modelling—including machine learning and deep neural networks
Big data analytics to uncover hidden patterns and insights
Blockchain-based data management methods, privacy-preserving architecture and trust-enhancing systems
Security threat detection, fraud prevention and privacy-preserving applications
With applications ranging from industrial-scale systems to real-world, high-stakes environments, this book serves as an essential resource for:
Researchers exploring next-generation AI, blockchain and data science approaches
Practitioners and developers implementing enterprise-scale solutions
Industry professionals and policy-makers seeking best practices in secure, transparent and accountable computing
This book offers both theoretical depth and applied relevance, making it a valuable reference to guide innovation in data-driven and decentralised systems.
AI methodologies and modelling—including machine learning and deep neural networks
Big data analytics to uncover hidden patterns and insights
Blockchain-based data management methods, privacy-preserving architecture and trust-enhancing systems
Security threat detection, fraud prevention and privacy-preserving applications
With applications ranging from industrial-scale systems to real-world, high-stakes environments, this book serves as an essential resource for:
Researchers exploring next-generation AI, blockchain and data science approaches
Practitioners and developers implementing enterprise-scale solutions
Industry professionals and policy-makers seeking best practices in secure, transparent and accountable computing
This book offers both theoretical depth and applied relevance, making it a valuable reference to guide innovation in data-driven and decentralised systems.
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