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245 1 0 _aRecent Advancements in Computational Finance and Business Analytics
_h[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.
250 _a1st ed. 2024.
264 1 _aCham :
_bSpringer Nature Switzerland :
_bImprint: Springer,
_c2024.
300 _aXXVI, 616 p. 197 illus., 163 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
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490 1 _aLearning and Analytics in Intelligent Systems,
_x2662-3455 ;
_v42
505 0 _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.
520 _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.
541 _fUABC ;
_cPerpetuidad
650 0 _aComputational intelligence.
650 0 _aSocial sciences
_xMathematics.
650 0 _aBusiness information services.
650 1 4 _aComputational Intelligence.
650 2 4 _aMathematics in Business, Economics and Finance.
650 2 4 _aBusiness Information Systems.
700 1 _aGupta, Rangan.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aBartolucci, Francesco.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aKatsikis, Vasilios N.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aPatnaik, Srikanta.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783031705977
776 0 8 _iPrinted edition:
_z9783031705991
776 0 8 _iPrinted edition:
_z9783031706004
830 0 _aLearning and Analytics in Intelligent Systems,
_x2662-3455 ;
_v42
856 4 0 _zLibro electrónico
_uhttp://libcon.rec.uabc.mx:2048/login?url=https://doi.org/10.1007/978-3-031-70598-4
912 _aZDB-2-INR
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