This book considers and assesses essential financial issues by utilizing data science and fuzzy multiple criteria decision making (MCDM) methods. It introduces readers to a range of data science methods, and demonstrates their application in the fields of business, health, economics, finance and engineering. In addition, it provides suggestions based on the assessment results on each topic, which can help to enhance the efficiency of the financial system and the sustainability of economic development. Given its scope, the book will help readers broaden their perspective on the assessment and evaluation of financial issues using data science and MCDM approaches.
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1 Introduction to Data Science and Machine Learning Algorithms |
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1.1 Artificial Neural Networks |
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1.1.1 A Few Concrete Examples |
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1.2 Neural Network Elements |
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1.3 Hyper Parameters of Deep Neural Networks |
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1.4 Support Vector Machine |
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1.10 Sample Decision Tree |
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12 | (2) |
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2 Identifying Indicators of Global Financial Crisis with Fuzzy Logic and Data Science: A Comparative Analysis Between Developing and Developed Economies |
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2.2 General Information About the Financial Crises and 2008 Global Mortgage Crisis |
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2.2.1 Types of the Financial Crises |
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2.2.2 2008 Global Financial Crisis |
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2.4 An Application on Turkish Banking Industry |
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2.4.1 Data Set and Variables |
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27 | (3) |
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31 | (1) |
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31 | (16) |
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47 | (8) |
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3 Determining the Ways to Increase Economic Growth of Developing and Developed Economies: An Application with Data Mining and Fuzzy TOPSIS |
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3.3 An Application on Developing and Developed Economies |
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3.3.1 Data Set and Variables |
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4 Profitability Prediction of Turkish Banking Industry: A Comparative Analysis with Data Science and Fuzzy ANP |
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4.3 An Application on Turkish Banking Industry |
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4.3.1 Data Set and Variables |
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Analysis Details of Decision Tree Approach |
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5 The Influence of the Politicians on Macroeconomic Performance: An Analysis of Donald Trump's Tweets |
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5.3 An Application on Donald Trump's Tweets |
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6 How Is the Stock Exchange Index Affected by the Disclosures of Politicians? |
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6.3 The Analysis of the Impacts of Donald Trump's Tweets on Dow Jones Index |
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7 Defining the Significant Factors of Currency Exchange Rate Risk by Considering Text Mining and Fuzzy AHP |
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147 | (1) |
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7.4 The Analysis on the Journals Reviewed in Sciencedirect |
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154 | (1) |
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155 | (10) |
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165 | (4) |
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8 Emerging Applications and the Future of Data Science |
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8.1 Building an Effective Data Science Team |
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8.2 Examining Social Media |
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170 | (1) |
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170 | (1) |
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171 | (1) |
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172 | (1) |
| Index |
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173 | |
Gökhan Silahtarolu is a Professor of Data Science andHead of the Department of Management Information Systems, Faculty of Economics and Administrative Sciences, Istanbul Medipol University (Turkey). Dr. Silahtarolu received his PhD in management sciences and quantitative methods from Istanbul University in 2005.
Hasan Dinēer is a Professor of Finance at the Faculty of Economics and Administrative Sciences, Istanbul Medipol University (Turkey). He has more than 150 scientific articles to his credit, many of which are indexed in SSCI, SCI-Expanded and Scopus. He is also the editor of numerous books published by Springer and IGI Global.
Serhat Yüksel is an Associate Professor of Finance at the Faculty of Economics and Administrative Sciences, Istanbul Medipol University (Turkey). He has more than 150 scientific articles, many of which are indexed in SSCI, SCI-Expanded and Scopus, to his credit. He is also the editor of various books published by Springer and IGI Global.
