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001434748 001__ 1434748
001434748 003__ OCoLC
001434748 005__ 20230309003817.0
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001434748 008__ 210313s2021\\\\si\a\\\\ob\\\\000\0\eng\d
001434748 019__ $$a1241443052$$a1241664663$$a1241732495$$a1244118786$$a1244633577$$a1250095654
001434748 020__ $$a9789813361379$$q(electronic book)
001434748 020__ $$a9813361379$$q(electronic book)
001434748 020__ $$z9813361360
001434748 020__ $$z9789813361362
001434748 0247_ $$a10.1007/978-981-33-6137-9$$2doi
001434748 035__ $$aSP(OCoLC)1241445166
001434748 040__ $$aEBLCP$$beng$$erda$$epn$$cEBLCP$$dYDX$$dN$T$$dOCLCO$$dGW5XE$$dDCT$$dEBLCP$$dSFB$$dOCLCF$$dORZ$$dOCLCO$$dUKAHL$$dMFS$$dOCLCO$$dOCLCQ$$dOCLCO$$dCOM$$dOCLCQ
001434748 049__ $$aISEA
001434748 050_4 $$aHG173
001434748 08204 $$a330.0285/574$$223
001434748 24500 $$aFintech with artificial intelligence, big data, and blockchain /$$cPaul Moon Sub Choi, Seth H. Huang, editors.
001434748 264_1 $$aSingapore, Singapore :$$bSpringer,$$c[2021]
001434748 300__ $$a1 online resource (vi, 304 pages) :$$billustrations (some color)
001434748 336__ $$atext$$btxt$$2rdacontent
001434748 337__ $$acomputer$$bc$$2rdamedia
001434748 338__ $$aonline resource$$bcr$$2rdacarrier
001434748 347__ $$atext file
001434748 347__ $$bPDF
001434748 4901_ $$aBlockchain technologies
001434748 504__ $$aIncludes bibliographical references.
001434748 5050_ $$aBlockchain, Cryptocurrency, and Artificial Intelligence in Finance -- Alternative Data, Big Data, and Applications to Finance -- Application of Big Data with Financial Technology in Financial Services -- Using Machine Learning to Predict the Defaults of Credit Card Clients -- Artificial Intelligence and Advanced Time Series Classification: Residual Attention Net for Cross-Domain Modeling -- Generating Synthetic Sequential Data for Enhanced Model Training: A Generative Adversarial Net Framework -- A Machine Learning-based Model for the Asymmetric Prediction of Accounting and Financial Information -- Artificial Intelligence-based Detection and Prediction of Corporate Earnings Management -- Machine Learning Applications in Finance Research --Price-Bands: A Technical Tool for Stock Trading -- Informed or Biased? Some Evidence from Listed Fund Trading -- Information Divide About Mergers: Evidence from Investor -- Machine Learning and Cryptocurrency in the Financial Markets.
001434748 506__ $$aAccess limited to authorized users.
001434748 520__ $$aThis book introduces readers to recent advancements in financial technologies. The contents cover some of the state-of-the-art fields in financial technology, practice, and research associated with artificial intelligence, big data, and blockchain all of which are transforming the nature of how products and services are designed and delivered, making less adaptable institutions fast become obsolete. The book provides the fundamental framework, research insights, and empirical evidence in the efficacy of these new technologies, employing practical and academic approaches to help professionals and academics reach innovative solutions and grow competitive strengths.
001434748 588__ $$aOnline resource; title from digital title page (viewed on May 6, 2021).
001434748 650_0 $$aFinance$$xTechnological innovations.
001434748 650_0 $$aArtificial intelligence.
001434748 650_0 $$aBig data.
001434748 650_0 $$aBlockchains (Databases)
001434748 650_6 $$aFinances$$xInnovations.
001434748 650_6 $$aIntelligence artificielle.
001434748 650_6 $$aDonnées volumineuses.
001434748 650_6 $$aChaînes de blocs.
001434748 655_0 $$aElectronic books.
001434748 7001_ $$aChoi, Paul Moon Sub,$$d1976-$$eeditor.
001434748 7001_ $$aHuang, Seth H.,$$eeditor.
001434748 77608 $$iPrint version:$$aChoi, Paul Moon Sub.$$tFintech with Artificial Intelligence, Big Data, and Blockchain.$$dSingapore : Springer Singapore Pte. Limited, ©2021$$z9789813361362
001434748 830_0 $$aBlockchain technologies (Series)
001434748 852__ $$bebk
001434748 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-981-33-6137-9$$zOnline Access$$91397441.1
001434748 909CO $$ooai:library.usi.edu:1434748$$pGLOBAL_SET
001434748 980__ $$aBIB
001434748 980__ $$aEBOOK
001434748 982__ $$aEbook
001434748 983__ $$aOnline
001434748 994__ $$a92$$bISE