Data Science and Multiple Criteria Decision Making Approaches in Finance : Applications and Methods

by Gökhan Silahtaroğlu, Hasan Dinçer, Serhat Yüksel

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.

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Year of publication:	2021 ; 1st ed. 2021.
Authors:	Silahtaroğlu, Gökhan ; Dinçer, Hasan ; Yüksel, Serhat
Publisher:	2021.: Cham : Springer International Publishing 2021.: Cham : Imprint: Springer
Subject:	Multikriterielle Entscheidungsanalyse \| Multi-criteria analysis
Description of contents:	Description [swbplus.bsz-bw.de]

Extent:	1 Online-Ressource(XVI, 173 p. 14 illus.)
Series:	Multiple Criteria Decision Making
Type of publication:	Book / Working Paper
Language:	English
ISBN:	978-3-030-74176-1 ; 978-3-030-74175-4 ; 978-3-030-74177-8 ; 978-3-030-74178-5
Other identifiers:	10.1007/978-3-030-74176-1 [DOI]
Source:	ECONIS - Online Catalogue of the ZBW

Persistent link: https://www.econbiz.de/10012519903