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Data Science and Multiple Criteria Decision Making Approaches in Finance: Applications and Methods - Softcover
Inhaltsangabe
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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Über die Autorin bzw. den Autor
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.
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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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- VerlagSpringer
- Erscheinungsdatum2022
- ISBN 10 3030741788
- ISBN 13 9783030741785
- EinbandTapa blanda
- SpracheEnglisch
- Auflage1
- Anzahl der Seiten192
- Kontakt zum HerstellerNicht verfügbar
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Data Science and Multiple Criteria Decision Making Approaches in Finance
ISBN 10: 3030741788
ISBN 13: 9783030741785
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Softcover
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Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. 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 b. Bestandsnummer des Verkäufers 600116305
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Data Science and Multiple Criteria Decision Making Approaches in Finance : Applications and Methods
Verlag:
Springer International Publishing, 2022
ISBN 10: 3030741788
ISBN 13: 9783030741785
Neu
Taschenbuch
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
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Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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. Bestandsnummer des Verkäufers 9783030741785
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Data Science and Multiple Criteria Decision Making Approaches in Finance
Verlag:
Springer International Publishing Mai 2022, 2022
ISBN 10: 3030741788
ISBN 13: 9783030741785
Neu
Taschenbuch
Anbieter: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Deutschland
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Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 192 pp. Englisch. Bestandsnummer des Verkäufers 9783030741785
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Data Science and Multiple Criteria Decision Making Approaches in Finance
ISBN 10: 3030741788
ISBN 13: 9783030741785
Neu
Taschenbuch
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Taschenbuch. Zustand: Neu. Neuware -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.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 192 pp. Englisch. Bestandsnummer des Verkäufers 9783030741785
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