Proceedings of the 2nd International Conference on Computational Finance and Business Analytics – ICCFBA-2024 Gupta, Rangan. editor. edt http://id.loc.gov/vocabulary/relators/edt Bartolucci, Francesco. editor. edt http://id.loc.gov/vocabulary/relators/edt Katsikis, Vasilios N. editor. edt http://id.loc.gov/vocabulary/relators/edt Patnaik, Srikanta. editor. edt http://id.loc.gov/vocabulary/relators/edt SpringerLink (Online service) text sz 2024 1st ed. 2024. monographic eng

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access XXVI, 616 p. 197 illus., 163 illus. in color. online resource. 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. -- 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. edited by Rangan Gupta, Francesco Bartolucci, Vasilios N. Katsikis, Srikanta Patnaik. Computational intelligence Social sciences Mathematics Business information services Computational Intelligence Mathematics in Business, Economics and Finance Business Information Systems Q342 9783031705984 https://doi.org/10.1007/978-3-031-70598-4 https://doi.org/10.1007/978-3-031-70598-4 240903 20251030112935.0 978-3-031-70598-4