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Data Science and Multiple Criteria Decision Making Approaches in Finance: Applications and Methods - Hardcover
Synopsis
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.
"synopsis" may belong to another edition of this title.
About the Author
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.
From the Back Cover
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.
"About this title" may belong to another edition of this title.
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Data science and multiple criteria decision making approaches in finance. applications and methods.
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XVI, 173 p. Hardcover. Einband bestoßen, daher Mängelexemplar gestempelt, sonst sehr guter Zustand. Imperfect copy due to slightly bumped cover, apart from this in very good condition. Stamped. Multiple criteria decision making. Sprache: Englisch. Seller Inventory # 44313HB
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Data Science and Multiple Criteria Decision Making Approaches in Finance: Applications and Methods
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Data Science and Multiple Criteria Decision Making Approaches in Finance: Applications and Methods
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Data Science and Multiple Criteria Decision Making Approaches in Finance
Published by
Springer International Publishing Mai 2021, 2021
ISBN 10: 3030741753
ISBN 13: 9783030741754
New
Hardcover
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Seller rating 5 out of 5 stars
Buch. Condition: 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. Seller Inventory # 9783030741754
Quantity: 2 available
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Data Science and Multiple Criteria Decision Making Approaches in Finance : Applications and Methods
Published by
Springer International Publishing, 2021
ISBN 10: 3030741753
ISBN 13: 9783030741754
New
Hardcover
Seller: AHA-BUCH GmbH, Einbeck, Germany
Seller rating 5 out of 5 stars
Buch. Condition: 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. Seller Inventory # 9783030741754
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Data Science and Multiple Criteria Decision Making Approaches in Finance
Published by
Springer International Publishing, 2021
ISBN 10: 3030741753
ISBN 13: 9783030741754
New
Hardcover
Seller: moluna, Greven, Germany
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Gebunden. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Introduces various methods and applications in MCDMFocuses on important financial topicsIncludes unique examples for better understandingGoekhan Silahtaroglu is a Professor of Data Science andHead of the Department of Management I. Seller Inventory # 458554011
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Data Science and Multiple Criteria Decision Making Approaches in Finance
ISBN 10: 3030741753
ISBN 13: 9783030741754
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Hardcover
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
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Buch. Condition: 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. Seller Inventory # 9783030741754
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Data Science and Multiple Criteria Decision Making Approaches in Finance: Applications and Methods
Seller: Revaluation Books, Exeter, United Kingdom
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Hardcover. Condition: Brand New. 173 pages. 9.25x6.25x0.75 inches. In Stock. Seller Inventory # x-3030741753
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