04413nam a22005775i 4500 978-3-031-70598-4 DE-He213 20251030112935.0 cr nn 008mamaa 240903s2024 sz | s |||| 0|eng d 9783031705984 978-3-031-70598-4 10.1007/978-3-031-70598-4 doi Q342 UYQ bicssc COM004000 bisacsh UYQ thema Recent Advancements in Computational Finance and Business Analytics [electronic resource] : Proceedings of the 2nd International Conference on Computational Finance and Business Analytics – ICCFBA-2024 / edited by Rangan Gupta, Francesco Bartolucci, Vasilios N. Katsikis, Srikanta Patnaik. 1st ed. 2024. Cham : Springer Nature Switzerland : Imprint: Springer, 2024. XXVI, 616 p. 197 illus., 163 illus. in color. online resource. text txt rdacontent computer c rdamedia online resource cr rdacarrier text file PDF rda Learning and Analytics in Intelligent Systems, 2662-3455 ; 42 -- 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. 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. Computational intelligence. 64052 Social sciences Mathematics. 69736 Business information services. Computational Intelligence. 64052 Mathematics in Business, Economics and Finance. 69739 Business Information Systems. 66184 Gupta, Rangan. editor. edt http://id.loc.gov/vocabulary/relators/edt 83635 Bartolucci, Francesco. editor. edt http://id.loc.gov/vocabulary/relators/edt 83636 Katsikis, Vasilios N. editor. edt http://id.loc.gov/vocabulary/relators/edt 83637 Patnaik, Srikanta. editor. edt http://id.loc.gov/vocabulary/relators/edt 67152 SpringerLink (Online service) Springer Nature eBook Printed edition: 9783031705977 Printed edition: 9783031705991 Printed edition: 9783031706004 Learning and Analytics in Intelligent Systems, 2662-3455 ; 42 69955 https://doi.org/10.1007/978-3-031-70598-4 ZDB-2-INR ZDB-2-SXIT 63075 63075