04176nam a22005295i 4500001001800000003000900018005001700027007001500044008004100059020003700100024003500137050000900172072001600181072002300197072001500220245029900235250001800534264006900552300006800621336002600689337002600715338003600741347002400777490006800801505068000869520115701549650003902706650004102745650003502786650003902821650005902860650004102919700008302960700009103043700009003134700008703224710003403311773002603345776003603371776003603407776003603443830007503479856004603554912001403600912001503614999001703629978-3-031-70598-4DE-He21320251030112935.0cr nn 008mamaa240903s2024    sz |    s    |||| 0|eng d  a97830317059849978-3-031-70598-47 a10.1007/978-3-031-70598-42doi 4aQ342 7aUYQ2bicssc 7aCOM0040002bisacsh 7aUYQ2thema10aRecent Advancements in Computational Finance and Business Analyticsh[electronic resource] :bProceedings of the 2nd International Conference on Computational Finance and Business Analytics – ICCFBA-2024 /cedited by Rangan Gupta, Francesco Bartolucci, Vasilios N. Katsikis, Srikanta Patnaik.  a1st ed. 2024. 1aCham :bSpringer Nature Switzerland :bImprint: Springer,c2024.  aXXVI, 616 p. 197 illus., 163 illus. in color.bonline resource.  atextbtxt2rdacontent  acomputerbc2rdamedia  aonline resourcebcr2rdacarrier  atext filebPDF2rda1 aLearning and Analytics in Intelligent Systems,x2662-3455 ;v420 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.  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. 0aComputational intelligence.964052 0aSocial sciencesxMathematics.969736 0aBusiness information services.14aComputational Intelligence.96405224aMathematics in Business, Economics and Finance.96973924aBusiness Information Systems.9661841 aGupta, Rangan.eeditor.4edt4http://id.loc.gov/vocabulary/relators/edt9836351 aBartolucci, Francesco.eeditor.4edt4http://id.loc.gov/vocabulary/relators/edt9836361 aKatsikis, Vasilios N.eeditor.4edt4http://id.loc.gov/vocabulary/relators/edt9836371 aPatnaik, Srikanta.eeditor.4edt4http://id.loc.gov/vocabulary/relators/edt9671522 aSpringerLink (Online service)0 tSpringer Nature eBook08iPrinted edition:z978303170597708iPrinted edition:z978303170599108iPrinted edition:z9783031706004 0aLearning and Analytics in Intelligent Systems,x2662-3455 ;v4296995540uhttps://doi.org/10.1007/978-3-031-70598-4  aZDB-2-INR  aZDB-2-SXIT  c63075d63075