Buch, Englisch, Band 42, 616 Seiten, Format (B × H): 160 mm x 241 mm, Gewicht: 1121 g
Proceedings of the 2nd International Conference on Computational Finance and Business Analytics - ICCFBA-2024
Buch, Englisch, Band 42, 616 Seiten, Format (B × H): 160 mm x 241 mm, Gewicht: 1121 g
Reihe: Learning and Analytics in Intelligent Systems
ISBN: 978-3-031-70597-7
Verlag: Springer Nature Switzerland
This book presents the latest breakthroughs and cutting-edge advancements within this rapidly evolving field. By providing computational finance and business analytics, organizations can secure a competitive advantage in today’s data-driven and cutting-edge business landscape. This book explores the most recent innovations and significant developments in both the domains of computational finance and business analytics, offering a thorough overview of the current landscape. It encompasses various dimensions including:
- Business Analytics
- Financial Analytics
- HR & Marketing Analytics
By integrating the latest theoretical insights with practical applications, this book equips researchers, practitioners, and students with the knowledge and tools necessary to explore and progress in the ever-changing realm of computational finance and business analytics. As the present organizations confront the challenges and adapt the opportunities presented by the data revolution, this book serves as an essential guide, illuminating the transformative frontiers where computational finance and business analytics are redefining the realm of possibilities.
Zielgruppe
Research
Autoren/Hrsg.
Fachgebiete
- Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz
- Mathematik | Informatik Mathematik Numerik und Wissenschaftliches Rechnen Angewandte Mathematik, Mathematische Modelle
- Wirtschaftswissenschaften Wirtschaftswissenschaften Wirtschaftswissenschaften: Allgemeines
- Wirtschaftswissenschaften Betriebswirtschaft Wirtschaftsmathematik und -statistik
Weitere Infos & Material
.- Part I Financial Analytics.
.- 1 Enterprise Financial Fraud Detection and Audit Optimization Based on Deep Learning.
.- 2 Role and Challenges of Intelligent Data Analysis in Enterprise Financial Decision-Making.
.- 3 Enterprise Economic Benefit Evaluation Model Based on Fuzzy Entropy.
.- 4 Discussion on the Design of Cloud Computing Audit System Based on Data Center.
.- 5 Investigation of Home Bias and Disposition Effect in the Investment Behavior-Delhi-NCR.
.- 6 Research on Optimization Method of Enterprise Financial and Accounting Information Quality Based on Big Data Analysis.
.- 7 Dynamic Portfolios: Deep Neural Networks Driving Financial Success, etc.
