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001			239507
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007			cr nn 008mamaa
008			210529s2021 sz | o |||| 0|eng d
020			_a9783030741761
024	7		_a10.1007/978-3-030-74176-1 _2doi
040			_aES-VaU _bspa _cES-VaU _dES-VaU
050		4	_aT57.6-.97 _b2021 EB
100	1		_aSilahtaroğlu, Gökhan. _eautor. _0(orcid)0000-0001-8863-8348 _1https://orcid.org/0000-0001-8863-8348 _4aut _4http://id.loc.gov/vocabulary/relators/aut
245	0	0	_aData Science and Multiple Criteria Decision Making Approaches in Finance : _bApplications and Methods _cby Gökhan Silahtaroğlu, Hasan Dinçer, Serhat Yüksel
250			_a1st ed. 2021.
264		1	_aCham _c2021 _bSpringer International Publishing
300			_a1 recurso en línea
336			_atexto _btxt _2rdacontent
337			_aelectrónico _bc _2rdamedia
338			_arecurso electrónico _bcr _2rdacarrier
490	0		_aMultiple Criteria Decision Making _x2366-0031
505	0		_a1. 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.
520			_aThis 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.
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-030-74176-1 _zAcceso a este recurso digital (usuarios Universidad Europea de Valencia)
942			_2lcc _cLE
988			_aSpringer_Business_2021
999			_c239507 _d239507