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Recent Developments in Computational Finance and Business Analytics: Proceedings of the 3rd International Conference on Computational Finance and Business Analytics [Kõva köide]

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  • Formaat: Hardback, 855 pages, kõrgus x laius: 235x155 mm, 100 Illustrations, color; 101 Illustrations, black and white; XX, 855 p. 201 illus., 100 illus. in color., 1 Hardback
  • Sari: Learning and Analytics in Intelligent Systems 53
  • Ilmumisaeg: 22-Aug-2025
  • Kirjastus: Springer International Publishing AG
  • ISBN-10: 3031994760
  • ISBN-13: 9783031994760
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Recent Developments in Computational Finance and Business Analytics: Proceedings of the 3rd International Conference on Computational Finance and Business AnalyticsSuurem pilt
  • Formaat: Hardback, 855 pages, kõrgus x laius: 235x155 mm, 100 Illustrations, color; 101 Illustrations, black and white; XX, 855 p. 201 illus., 100 illus. in color., 1 Hardback
  • Sari: Learning and Analytics in Intelligent Systems 53
  • Ilmumisaeg: 22-Aug-2025
  • Kirjastus: Springer International Publishing AG
  • ISBN-10: 3031994760
  • ISBN-13: 9783031994760
Teised raamatud teemal:
Püsilink: https://www.kriso.ee/db/9783031994760.html

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.