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Titlebook: Multicriteria Analysis in Finance; Michael Doumpos,Constantin Zopounidis Book 2014 The Author(s) 2014 Banking management.Credit scoring.Fi

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發(fā)表于 2025-3-21 19:46:09 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Multicriteria Analysis in Finance
編輯Michael Doumpos,Constantin Zopounidis
視頻videohttp://file.papertrans.cn/641/640231/640231.mp4
概述Includes supplementary material:
叢書名稱SpringerBriefs in Operations Research
圖書封面Titlebook: Multicriteria Analysis in Finance;  Michael Doumpos,Constantin Zopounidis Book 2014 The Author(s) 2014 Banking management.Credit scoring.Fi
描述This book provides a concise introduction into the fundamentals and applied techniques of multiple criteria decision making in the finance sector.?Based on?an analysis of the nature of financial decisions and the general methods of financial modelling, risk management and financial engineering, the book introduces into portfolio management, banking management and credit scoring. Finally the book presents an overview of further applications of multi criteria analysis in finance and gives an outlook on future perspectives for the application of MCDA in finance.
出版日期Book 2014
關鍵詞Banking management; Credit scoring; Financial decision making; Investment appraisal; Portfolio managemen
版次1
doihttps://doi.org/10.1007/978-3-319-05864-1
isbn_softcover978-3-319-05863-4
isbn_ebook978-3-319-05864-1Series ISSN 2195-0482 Series E-ISSN 2195-0504
issn_series 2195-0482
copyrightThe Author(s) 2014
The information of publication is updating

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發(fā)表于 2025-3-22 00:13:17 | 只看該作者
https://doi.org/10.1007/978-3-319-05864-1Banking management; Credit scoring; Financial decision making; Investment appraisal; Portfolio managemen
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發(fā)表于 2025-3-22 03:46:27 | 只看該作者
Michael Doumpos,Constantin ZopounidisIncludes supplementary material:
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Book 2014ed on?an analysis of the nature of financial decisions and the general methods of financial modelling, risk management and financial engineering, the book introduces into portfolio management, banking management and credit scoring. Finally the book presents an overview of further applications of mul
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Application of Machine Learning in Pharmacoproteomics,coproteomic data for machine learning analysis, are covered. In addition,?the chapter highlights machine learning algorithms used on large datasets typical in high-throughput proteomic studies?with emphasis on supervised machine learning.
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