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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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发表于 2025-3-21 19:46:09 | 显示全部楼层 |阅读模式
书目名称Multicriteria Analysis in Finance
编辑Michael Doumpos,Constantin Zopounidis
视频video
概述Includes supplementary material:
丛书名称SpringerBriefs in Operations Research
图书封面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
关键词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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发表于 2025-3-22 00:13:17 | 显示全部楼层
https://doi.org/10.1007/978-3-319-05864-1Banking management; Credit scoring; Financial decision making; Investment appraisal; Portfolio managemen
发表于 2025-3-22 03:46:27 | 显示全部楼层
Michael Doumpos,Constantin ZopounidisIncludes supplementary material:
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发表于 2025-3-22 10:14:50 | 显示全部楼层
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.
发表于 2025-3-23 06:52:17 | 显示全部楼层
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