001446259 000__ 04290cam\a2200505Ii\4500
001446259 001__ 1446259
001446259 003__ OCoLC
001446259 005__ 20230310003948.0
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001446259 019__ $$a1313072261$$a1313884172
001446259 020__ $$a9783030837990$$q(electronic bk.)
001446259 020__ $$a3030837998$$q(electronic bk.)
001446259 020__ $$z9783030837983
001446259 020__ $$z303083798X
001446259 0247_ $$a10.1007/978-3-030-83799-0$$2doi
001446259 035__ $$aSP(OCoLC)1312806485
001446259 040__ $$aYDX$$beng$$erda$$epn$$cYDX$$dGW5XE$$dEBLCP$$dOCLCF$$dN$T$$dUKAHL$$dOCLCQ$$dIAC
001446259 049__ $$aISEA
001446259 050_4 $$aHG173
001446259 08204 $$a332.0285$$223/eng/20220505
001446259 24500 $$aFinancial data analytics :$$btheory and application /$$cSinem Derindere Köseoğlu, editor.
001446259 264_1 $$aCham :$$bSpringer,$$c[2022]
001446259 264_4 $$c©2022
001446259 300__ $$a1 online resource :$$billustrations (chiefly color).
001446259 336__ $$atext$$btxt$$2rdacontent
001446259 337__ $$acomputer$$bc$$2rdamedia
001446259 338__ $$aonline resource$$bcr$$2rdacarrier
001446259 4901_ $$aContributions to finance and accounting
001446259 5050_ $$aPART 1. INTRODUCTION AND ANALYTICS MODELS -- Retraining and Reskilling Financial Participators in the Digital Age -- Basics of Financial Data Analytics -- Predictive Analytics Techniques: Theory and Applications in Finance -- Prescriptive Analytics Techniques: Theory and Applications in Finance -- Forecasting Returns of Crypto Currency - Analyzing Robustness of Auto Regressive and Integrated Moving Average (ARIMA) and Artificial Neural Networks (ANNS) -- PART 2. MACHINE LEARNING -- Machine Learning in Financial Markets: Dimension Reduction and Support Vector Machine -- Pruned Random Forests for Effective and Efficient Financial Data Analytics -- Foreign Currency Exchange Rate Prediction Using Long Short Term Memory -- Natural Language Processing (NLP) for Exploring Culture in Finance: Theory and Applications -- PART 3. TECHNOLOGY DRIVEN FINANCE -- Financial Networks: A Review of Models and the Use of Network Similarities -- Optimization of Regulatory Economic-Capital Structured Portfolios: Modeling Algorithms, Financial Data Analytics and Reinforcement Machine Learning in Emerging Markets -- Transforming Insurance Business with Data Science -- A General Cyber Hygiene Approach for Financial Analytical Environment.
001446259 506__ $$aAccess limited to authorized users.
001446259 520__ $$aThis book presents both theory of financial data analytics, as well as comprehensive insights into the application of financial data analytics techniques in real financial world situations. It offers solutions on how to logically analyze the enormous amount of structured and unstructured data generated every moment in the finance sector. This data can be used by companies, organizations, and investors to create strategies, as the finance sector rapidly moves towards data-driven optimization. This book provides an efficient resource, addressing all applications of data analytics in the finance sector. International experts from around the globe cover the most important subjects in finance, including data processing, knowledge management, machine learning models, data modeling, visualization, optimization for financial problems, financial econometrics, financial time series analysis, project management, and decision making. The authors provide empirical evidence as examples of specific topics. By combining both applications and theory, the book offers a holistic approach. Therefore, it is a must-read for researchers and scholars of financial economics and finance, as well as practitioners interested in a better understanding of financial data analytics. .
001446259 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed May 5, 2022).
001446259 650_0 $$aFinance$$xData processing.
001446259 655_0 $$aElectronic books.
001446259 7001_ $$aDerindere Köseoğlu, Sinem,$$d1981-$$eeditor.
001446259 77608 $$iPrint version:$$z303083798X$$z9783030837983$$w(OCoLC)1259585584
001446259 830_0 $$aContributions to finance and accounting.
001446259 852__ $$bebk
001446259 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-030-83799-0$$zOnline Access$$91397441.1
001446259 909CO $$ooai:library.usi.edu:1446259$$pGLOBAL_SET
001446259 980__ $$aBIB
001446259 980__ $$aEBOOK
001446259 982__ $$aEbook
001446259 983__ $$aOnline
001446259 994__ $$a92$$bISE