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010   $a3-031-70598-X
024 7 $a10.1007/978-3-031-70598-4
035   $a(CKB)34812121300041
035   $a(MiAaPQ)EBC31648291
035   $a(Au-PeEL)EBL31648291
035   $a(DE-He213)978-3-031-70598-4
035   $a(OCoLC)1455130229
035   $a(EXLCZ)9934812121300041
100   $a20240903d2024      u|         0
101 0 $aeng
135   $aur|||||||||||
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 10$aRecent Advancements in Computational Finance and Business Analytics $eProceedings of the 2nd International Conference on Computational Finance and Business Analytics ? ICCFBA-2024 /$fedited by Rangan Gupta, Francesco Bartolucci, Vasilios N. Katsikis, Srikanta Patnaik
205   $a1st ed. 2024.
210  1$aCham :$cSpringer Nature Switzerland :$cImprint: Springer,$d2024.
215   $a1 online resource (634 pages)
225 1 $aLearning and Analytics in Intelligent Systems,$x2662-3455 ;$v42
311 08$a3-031-70597-1 
327   $a -- 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.
330   $aThis book presents the latest breakthroughs and cutting-edge advancements within this rapidly evolving field. By providing computational finance and business analytics, organizations can secure a competitive advantage in today?s data-driven and cutting-edge business landscape. This book explores the most recent innovations and significant developments in both the domains of computational finance and business analytics, offering a thorough overview of the current landscape. It encompasses various dimensions including: Business Analytics Financial Analytics HR & Marketing Analytics By integrating the latest theoretical insights with practical applications, this book equips researchers, practitioners, and students with the knowledge and tools necessary to explore and progress in the ever-changing realm of computational finance and business analytics. As the present organizations confront the challenges and adapt the opportunities presented by the data revolution, this book serves as an essential guide, illuminating the transformative frontiers where computational finance and business analytics are redefining the realm of possibilities.
410  0$aLearning and Analytics in Intelligent Systems,$x2662-3455 ;$v42
606   $aComputational intelligence
606   $aSocial sciences$xMathematics
606   $aBusiness information services
606   $aComputational Intelligence
606   $aMathematics in Business, Economics and Finance
606   $aBusiness Information Systems
615  0$aComputational intelligence.
615  0$aSocial sciences$xMathematics.
615  0$aBusiness information services.
615 14$aComputational Intelligence.
615 24$aMathematics in Business, Economics and Finance.
615 24$aBusiness Information Systems.
676   $a332.0285
700   $aGupta$b Rangan$01845482
801  0$bMiAaPQ
801  1$bMiAaPQ
801  2$bMiAaPQ
906   $aBOOK
912   $a9910886091203321
996   $aRecent Advancements in Computational Finance and Business Analytics$94464077
997   $aUNINA