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Recent Developments in Computational Finance and Business Analytics -

Recent Developments in Computational Finance and Business Analytics

Proceedings of the 3rd International Conference on Computational Finance and Business Analytics
Buch | Hardcover
XXVIII, 829 Seiten
2025
Springer International Publishing (Verlag)
978-3-031-99476-0 (ISBN)
CHF 329,50 inkl. MwSt
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Recent Advancements in Computational Finance and Business Analytics captures the transformation reshaping finance, business, and decision-making. Structured around Financial Analytics, Business Analytics, and HR & Marketing Analytics, this volume presents cutting-edge research and real-world applications. Topics include machine learning in financial forecasting, AI-driven customer segmentation, and blockchain-enabled supply chains. Blending rigorous methods with actionable insights, it offers value to researchers, analysts, students, and policymakers. As industries embrace data-driven innovation, this book serves as both a reference and a roadmap for navigating the digital economy through strategic and intelligent analytics.

.- Analysis of Factors Affecting Goodwill Impairment and Research on Models Assisted by Computer Vision.- The Impact of Financial Technology Innovation on New Quality Productive Forces.- Empirical Study on Digital Finance Empowering the High Quality Development of Urban Ecological Economy in China.- Design of a Financial Risk Identification and Early Warning Model Based on Machine Learning, etc.

Erscheinungsdatum
Reihe/Serie Learning and Analytics in Intelligent Systems
Zusatzinfo XXVIII, 829 p. 212 illus., 169 illus. in color.
Verlagsort Cham
Sprache englisch
Maße 155 x 235 mm
Themenwelt Informatik Theorie / Studium Künstliche Intelligenz / Robotik
Mathematik / Informatik Mathematik Angewandte Mathematik
Technik
Wirtschaft
Schlagworte Big Data • Computational Intelligence • Deep learning • financial modeling • Fuzzy Sets • Granular Computing • machine learning • Neural networks • Probabilistic Modeling/Inference • Rough Sets • Time Series Analysis
ISBN-10 3-031-99476-0 / 3031994760
ISBN-13 978-3-031-99476-0 / 9783031994760
Zustand Neuware
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