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|a 658.4/03
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|a Silahtaroğlu, Gökhan,
|d 1967-
|1 https://id.oclc.org/worldcat/entity/E39PCjGKBt6WqTtddhwXGd7FgC.
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|a Data science and multiple criteria decision making approaches in finance :
|b applications and methods /
|c Gökhan Silahtaroğlu, Hasan Dinçer, Serhat Yüksel.
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|a Cham :
|b Springer,
|c 2021.
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300 |
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|a 1 online resource (183 pages).
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|a text
|b txt
|2 rdacontent.
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|a computer
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|2 rdamedia.
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|a online resource
|b cr
|2 rdacarrier.
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490 |
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|a Multiple Criteria Decision Making.
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505 |
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|a 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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|a Includes index.
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|a 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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|a Online resource; title from PDF title page (SpringerLink, viewed June 7, 2021).
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650 |
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|a Data mining.
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650 |
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|a Fuzzy logic.
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650 |
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|a Multiple criteria decision making.
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650 |
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|a Data Mining.
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650 |
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6 |
|a Exploration de données (Informatique)
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650 |
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|a Logique floue.
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650 |
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|a Décision multicritère.
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650 |
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|a Data mining.
|2 fast.
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650 |
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7 |
|a Fuzzy logic.
|2 fast.
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650 |
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|a Multiple criteria decision making.
|2 fast.
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700 |
1 |
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|a Dinçer, Hasan,
|d 1982-
|1 https://id.oclc.org/worldcat/entity/E39PCjFFTG9VfTdJvcCTj9fVT3.
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700 |
1 |
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|a Yuksel, Serhat,
|d 1983-
|1 https://id.oclc.org/worldcat/entity/E39PCjyTBqddvfyJCRRtxPQhh3.
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710 |
2 |
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|a SpringerLink (Online service)
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776 |
0 |
8 |
|i Print version:
|a Silahtaroğlu, Gökhan
|t Data Science and Multiple Criteria Decision Making Approaches in Finance
|d Cham : Springer International Publishing AG,c2021
|z 9783030741754.
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830 |
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|a MARCIVE Comprehensive, in 2023.02
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|a MARCIVE Over, 07/2021
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933 |
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|a Marcive found issue: "830 0
|a Multiple criteria decision making."
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|a 92
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|a Loaded with m2btab.ltiac in 2024.03
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|a Loaded with m2btab.elec in 2024.02
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|a Loaded with m2btab.ltiac in 2023.02
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|a Loaded with m2btab.ltiac in 2021.07
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|a Loaded with m2btab.elec in 2021.06
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|3 SpringerLink
|z Click here for access
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