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Data Science for Economics and Finance

big data sources and technologies for economic analysis (e.g. social media and news); big data models leveraging on supervised/unsupervised;

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Data Science for Economics and Finance

big data sources and technologies for economic analysis (e.g. social media and news); big data models leveraging on supervised/unsupervised;

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Computational Data Analysis Techniques in Economics & Finance

The vast volume of financial data that exists and the globalisation of financial markets create new challenges for researchers and;

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Research and Profit Maximization in Finance and Economics

data on economic indicators could be obtained; and the estimation of assorted models for forecasting economic indicators to maximize profit;

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Big Data Science in Finance

Explains the mathematics, theory, and methods of Big Data as applied to finance and investing Data science has fundamentally changed;

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Data Science and Multiple Criteria Decision Making Approaches in Finance

This book considers and assesses essential financial issues by utilizing data science and fuzzy multiple criteria decision making (MCDM;

Vergelijkbare producten zoals Data Science and Multiple Criteria Decision Making Approaches in Finance

Data Science and Multiple Criteria Decision Making Approaches in Finance

This book considers and assesses essential financial issues by utilizing data science and fuzzy multiple criteria decision making (MCDM;

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Mathematical Modeling in Economics and Finance

gain a deep appreciation for the modeling process and learn methods of testing and evaluation driven by data. The reader of this book will be;

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Islamic Economics and Finance

Islamic Economics and Finance: An Epistemological Inquiry is a scholarly work on the foundations of the role that the moral and ethical law;

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Handbook of Empirical Economics and Finance

Handbook of Empirical Economics and Finance explores the latest developments in the analysis and modeling of economic and financial data;

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Handbook of Empirical Economics and Finance

Handbook of Empirical Economics and Finance explores the latest developments in the analysis and modeling of economic and financial data;

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Advances in Econometrics, Operational Research, Data Science and Actuarial Studies

problems in business, economics, finance, insurance, and related fields. The authors present proposals for solutions to common problems;

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Methods and Applications of Statistics in Business, Finance, and Management Science

Inspired by the Encyclopedia of Statistical Sciences, SecondEdition, this volume presents the tools and techniques that areessential for;

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New Statistical Developments in Data Science

design and mathematical statistics. Though the book is mainly intended for researchers interested in the latest frontiers of Statistics and Data;

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Data Analysis and Rationality in a Complex World

This volume presents the latest advances in statistics and data science, including theoretical, methodological and computational;

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Dynamic And Stochastic Efficiency Analysis

This book extends the dynamic and stochastic analysis of economic efficiency by using the recent techniques of data envelopment;

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Data Analysis and Optimization for Engineering and Computing Problems

(COMPSE 2019). The conference highlighted the latest research innovations and applications of algorithms designed for optimization applications;

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Data Analysis and Optimization for Engineering and Computing Problems

(COMPSE 2019). The conference highlighted the latest research innovations and applications of algorithms designed for optimization applications;

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Analyzing the Global Political Economy

for understanding both contemporary IPE and for analyzing the global political economy. The authors also argue that the deployment of more;

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Intelligent Decision Technologies

and Related Topics in Big Data Analysis of Social and Financial Issues Decision-Making Theory for Economics;

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Complex Systems Modeling and Simulation in Economics and Finance

in Taipei, Taiwan, and addresses some of the important driving forces for various emergent properties in economies, when viewed as complex systems;

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R In Finance And Economics

reproducible research examples. It will enable students to use R for data cleaning, data visualization and quantitative model building using;

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Meta-Analytics

Meta-Analytics: Consensus Approaches and System Patterns for Data Analysis presents an exhaustive set of patterns for data science to use;

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Perception-based Data Mining and Decision Making in Economics and Finance

Zadeh, can serve as a basis for such extension of traditional data mining and decision making systems. Fuzzy logic as a main constituent of CWP;

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Study Guide for Statistics for Business and Financial Economics

This Study Guide accompanies Statistics for Business and Financial Economics, 3rd Ed. (Springer, 2013), which is the most definitive;

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Computational Techniques in Economics & Finance

The increasing volume of available data, the rapid advances in telecommunications, and the interrelationships of the global markets which;

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Applied Econometric Analysis

Professionals are constantly searching for competitive solutions to help determine current and future economic tendencies. Econometrics;

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