Data Science and Multiple Criteria Decision Making Approaches in Finance

Applications and Methods

Inbunden, Engelska, 2021

Av Gökhan Silahtaroğlu, Hasan Dinçer, Serhat Yüksel, Gokhan Silahtaroglu, Hasan Dincer, Serhat Yuksel, Gökhan Silahtaroğlu, Gökhan Silahtaroglu, Gökhan Silahtaro¿lu

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

Produktinformation

Utgivningsdatum2021-05-30
Mått155 x 235 x 17 mm
Vikt459 g
FormatInbunden
SpråkEngelska
SerieMultiple Criteria Decision Making
Antal sidor173
Upplaga21001
FörlagSpringer Nature Switzerland AG
ISBN9783030741754

Tillhör följande kategorier

Finansiering inom Ekonomi och ledarskap
Företagsekonomi inom Ekonomi och ledarskap
Artificiell intelligens inom Data och it
Ledarskap och motivation inom Ekonomi och ledarskap
Databaser inom Data och it

Gökhan Silahtaroğlu 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. Silahtaroğlu received his PhD in management sciences and quantitative methods from Istanbul University in 2005.Hasan Dinçer 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.

1. Introduction to Data Science and Machine Learning Algorithms.- 2. Identifying Indicators of Global Financial Crisis with Fuzzy Logic and Data Science: A Comparative Analysis between Developing and Developed Economies.- 3. Determining the Ways to Increase Economic Growth of Developing and Developed Economies: An Application with Data Mining and Fuzzy TOPSIS.- 4. Profitability Prediction of Turkish Banking Industry: A Comparative Analysis with Data Science and Fuzzy ANP.- 5. The Influence of the Politicians on Macroeconomic Performance: An Analysis of Donald Trump’s Tweets.- 6. How is the Stock Exchange Index Affected by the Disclosures of Politicians?.- 7. Defining the Significant Factors of Currency Exchange Rate Risk by Considering Text Mining and Fuzzy AHP.- 8. Emerging Applications and the Future of Data Science.