Data science and multiple criteria decision making approaches in finance: applications and methods
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| Main Authors: | , , |
|---|---|
| Format: | Book |
| Language: | English |
| Published: |
Cham
Springer
[2021]
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| Series: | Multiple Criteria Decision Making
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| Subjects: | |
| Online Access: | Inhaltsverzeichnis |
| Physical Description: | xvi, 173 Seiten llustrationen |
| ISBN: | 9783030741754 |
| ISSN: | 2366-0031 |
Staff View
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| 650 | 4 | |a Artificial Intelligence | |
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Contents 1 Introduction toData Science and Machine Learning Algorithms. 1.1 Artificial Neural Networks. 1.1.1 A Few Concrete Examples. 1.2 Neural Network Elements. 1.3 Hyper Parameters of Deep Neural Networks. 1.4 Support Vector Machine. 1.5 Kernel. 1.6 Regularization. 1.7 Gamma. 1.8 Margin. 1.9 Decision Trees. 1.10 Sample Decision Tree. 1.11 Testing Learning. 1.12 Text Mining. Appendix. References. 2 Identifying Indicators of Global Financial Crisis with Fuzzy Logic and Data Science: A Comparative Analysis Between Developing and Developed Economies. 2.1
Introduction. 2.2 General Information About the Financial Crises and 2008 Global Mortgage Crisis. 2.2.1 Types of the Financial Crises. 2.2.2 2008 Global Financial Crisis. 2.3 Literature Review. 2.4 An Application on Turkish Banking Industry. 2.4.1 Data Set and Variables. 2.4.2 Fuzzy DEMATEL. 2.4.3 Analysis Results. 2.5 Conclusion. 1 1 2 2 4 4 7 7 8 8 9 10 11 12 14 15 17 17 18 18 20 21 23 23 23 27 30 xi
xii 3 4 5 Contents Appendix 1. Appendix 2. References. 31 31 47 Determining the Ways to Increase Economic Growth of Developing and Developed Economies: An Application with Data Mining and Fuzzy TOPSIS. 3.1 Introduction. 3.2 Literature Review. 3.3 An Application on Developing andDeveloped Economies. . . 3.3.1 Data Set and Variables. 3.3.2 Fuzzy TOPSIS. 3.3.3 Analysis Results. 3.4 Conclusion. Appendix 1. Appendix 2. References. 55 55 56 58 58 59 60 61 62 63 71 Profitability Prediction of Turkish Banking
Industry: A Comparative Analysis with Data Science and Fuzzy ANP. 4.1 Introduction. 4.2 Literature Review. 4.3 An Application on Turkish BankingIndustry. 4.3.1 Data Set and Variables. 4.3.2 Fuzzy ANP. 4.3.3 Analysis Results. 4.4 Conclusion. Appendix 1. Appendix 2. Analysis Details of Decision Tree Approach. References. 77 77 79 80 80 82 84 87 88 89 89 103 The Influence of the Politicians on Macroeconomic Performance: An Analysis of Donald Trump’s Tweets. 5.1 Introduction. 5.2 Literature Review. 5.3 An Application on Donald Trump’s Tweets. 5.3.1 Fuzzy
VIKOR. 5.3.2 Analysis Results. 5.4 Conclusion. Appendix 1. Appendix 2. References. 109 109 Ill 112 112 113 117 118 118 123
Contents 6 7 How Is the Stock Exchange Index Affected by the Disclosures of Politicians?. 6.1 Introduction. 6.2 Literature Review. 6.3 The Analysis of the Impacts of Donald Trump’s Tweets on Dow Jones Index. 6.4 Conclusion. Appendix. References. xiii 129 129 130 133 139 140 140 Defining the Significant Factors of Currency Exchange Rate Risk by Considering Text Mining and Fuzzy AHP. 7.1 Introduction. 7.2 Literature Review. 7.3 Fuzzy AHP. 7.4 The Analysis on the Journals Reviewed in Sciencedirect. 7.5 Conclusion. Appendix 1. Appendix
2. References. 145 145 147 148 150 151 154 155 165 Emerging Applications and the Future of Data Science. 8.1 Building an Effective Data Science Team. 8.2 Examining Social Media. 8.3 Data Program. 8.4 Conclusion. Appendix. 169 169 170 170 171 172 Index. 173 8 |
| adam_txt |
Contents 1 Introduction toData Science and Machine Learning Algorithms. 1.1 Artificial Neural Networks. 1.1.1 A Few Concrete Examples. 1.2 Neural Network Elements. 1.3 Hyper Parameters of Deep Neural Networks. 1.4 Support Vector Machine. 1.5 Kernel. 1.6 Regularization. 1.7 Gamma. 1.8 Margin. 1.9 Decision Trees. 1.10 Sample Decision Tree. 1.11 Testing Learning. 1.12 Text Mining. Appendix. References. 2 Identifying Indicators of Global Financial Crisis with Fuzzy Logic and Data Science: A Comparative Analysis Between Developing and Developed Economies. 2.1
Introduction. 2.2 General Information About the Financial Crises and 2008 Global Mortgage Crisis. 2.2.1 Types of the Financial Crises. 2.2.2 2008 Global Financial Crisis. 2.3 Literature Review. 2.4 An Application on Turkish Banking Industry. 2.4.1 Data Set and Variables. 2.4.2 Fuzzy DEMATEL. 2.4.3 Analysis Results. 2.5 Conclusion. 1 1 2 2 4 4 7 7 8 8 9 10 11 12 14 15 17 17 18 18 20 21 23 23 23 27 30 xi
xii 3 4 5 Contents Appendix 1. Appendix 2. References. 31 31 47 Determining the Ways to Increase Economic Growth of Developing and Developed Economies: An Application with Data Mining and Fuzzy TOPSIS. 3.1 Introduction. 3.2 Literature Review. 3.3 An Application on Developing andDeveloped Economies. . . 3.3.1 Data Set and Variables. 3.3.2 Fuzzy TOPSIS. 3.3.3 Analysis Results. 3.4 Conclusion. Appendix 1. Appendix 2. References. 55 55 56 58 58 59 60 61 62 63 71 Profitability Prediction of Turkish Banking
Industry: A Comparative Analysis with Data Science and Fuzzy ANP. 4.1 Introduction. 4.2 Literature Review. 4.3 An Application on Turkish BankingIndustry. 4.3.1 Data Set and Variables. 4.3.2 Fuzzy ANP. 4.3.3 Analysis Results. 4.4 Conclusion. Appendix 1. Appendix 2. Analysis Details of Decision Tree Approach. References. 77 77 79 80 80 82 84 87 88 89 89 103 The Influence of the Politicians on Macroeconomic Performance: An Analysis of Donald Trump’s Tweets. 5.1 Introduction. 5.2 Literature Review. 5.3 An Application on Donald Trump’s Tweets. 5.3.1 Fuzzy
VIKOR. 5.3.2 Analysis Results. 5.4 Conclusion. Appendix 1. Appendix 2. References. 109 109 Ill 112 112 113 117 118 118 123
Contents 6 7 How Is the Stock Exchange Index Affected by the Disclosures of Politicians?. 6.1 Introduction. 6.2 Literature Review. 6.3 The Analysis of the Impacts of Donald Trump’s Tweets on Dow Jones Index. 6.4 Conclusion. Appendix. References. xiii 129 129 130 133 139 140 140 Defining the Significant Factors of Currency Exchange Rate Risk by Considering Text Mining and Fuzzy AHP. 7.1 Introduction. 7.2 Literature Review. 7.3 Fuzzy AHP. 7.4 The Analysis on the Journals Reviewed in Sciencedirect. 7.5 Conclusion. Appendix 1. Appendix
2. References. 145 145 147 148 150 151 154 155 165 Emerging Applications and the Future of Data Science. 8.1 Building an Effective Data Science Team. 8.2 Examining Social Media. 8.3 Data Program. 8.4 Conclusion. Appendix. 169 169 170 170 171 172 Index. 173 8 |
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| index_date | 2024-07-03T17:41:20Z |
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| series2 | Multiple Criteria Decision Making |
| spelling | Silahtaroğlu, Gökhan Verfasser (DE-588)1239584970 aut Data science and multiple criteria decision making approaches in finance applications and methods Gökhan Silahtaroğlu, Hasan Dinçer, Serhat Yüksel Cham Springer [2021] xvi, 173 Seiten llustrationen txt rdacontent n rdamedia nc rdacarrier Multiple Criteria Decision Making 2366-0031 Operations Research/Decision Theory Financial Engineering Operations Research, Management Science Data Structures and Information Theory Artificial Intelligence Operations research Decision making Financial engineering Management science Data structures (Computer science) Artificial intelligence Multikriteria-Entscheidung (DE-588)4126083-1 gnd rswk-swf Fuzzy-logisches Schließen (DE-588)4659944-7 gnd rswk-swf Multikriteria-Entscheidung (DE-588)4126083-1 s Fuzzy-logisches Schließen (DE-588)4659944-7 s DE-604 Dinçer, Hasan 1982- Verfasser (DE-588)1045759430 aut Yüksel, Serhat 1983- Verfasser (DE-588)1190388537 aut Erscheint auch als Online-Ausgabe 978-3-030-74176-1 Digitalisierung UB Regensburg - ADAM Catalogue Enrichment application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=032763442&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
| spellingShingle | Silahtaroğlu, Gökhan Dinçer, Hasan 1982- Yüksel, Serhat 1983- Data science and multiple criteria decision making approaches in finance applications and methods Operations Research/Decision Theory Financial Engineering Operations Research, Management Science Data Structures and Information Theory Artificial Intelligence Operations research Decision making Financial engineering Management science Data structures (Computer science) Artificial intelligence Multikriteria-Entscheidung (DE-588)4126083-1 gnd Fuzzy-logisches Schließen (DE-588)4659944-7 gnd |
| subject_GND | (DE-588)4126083-1 (DE-588)4659944-7 |
| title | Data science and multiple criteria decision making approaches in finance applications and methods |
| title_auth | Data science and multiple criteria decision making approaches in finance applications and methods |
| title_exact_search | Data science and multiple criteria decision making approaches in finance applications and methods |
| title_exact_search_txtP | Data science and multiple criteria decision making approaches in finance applications and methods |
| title_full | Data science and multiple criteria decision making approaches in finance applications and methods Gökhan Silahtaroğlu, Hasan Dinçer, Serhat Yüksel |
| title_fullStr | Data science and multiple criteria decision making approaches in finance applications and methods Gökhan Silahtaroğlu, Hasan Dinçer, Serhat Yüksel |
| title_full_unstemmed | Data science and multiple criteria decision making approaches in finance applications and methods Gökhan Silahtaroğlu, Hasan Dinçer, Serhat Yüksel |
| title_short | Data science and multiple criteria decision making approaches in finance |
| title_sort | data science and multiple criteria decision making approaches in finance applications and methods |
| title_sub | applications and methods |
| topic | Operations Research/Decision Theory Financial Engineering Operations Research, Management Science Data Structures and Information Theory Artificial Intelligence Operations research Decision making Financial engineering Management science Data structures (Computer science) Artificial intelligence Multikriteria-Entscheidung (DE-588)4126083-1 gnd Fuzzy-logisches Schließen (DE-588)4659944-7 gnd |
| topic_facet | Operations Research/Decision Theory Financial Engineering Operations Research, Management Science Data Structures and Information Theory Artificial Intelligence Operations research Decision making Financial engineering Management science Data structures (Computer science) Artificial intelligence Multikriteria-Entscheidung Fuzzy-logisches Schließen |
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