| 書目名稱 | Financial Data Analytics | | 副標題 | Theory and Applicati | | 編輯 | Sinem Derindere K?seo?lu | | 視頻video | http://file.papertrans.cn/343/342998/342998.mp4 | | 概述 | Provides a comprehensive resource for data analytics techniques.Introduces financial data analytics models, theories, and applications in a holistic approach.Presents empirical evidence as examples fo | | 叢書名稱 | Contributions to Finance and Accounting | | 圖書封面 |  | | 描述 | ?This book presents both theory of financial data analytics, as well as comprehensive insights into the application of financial data analytics techniques in real financial world situations. It offers solutions on how to logically analyze the enormous amount of structured and unstructured data generated every moment in the finance sector. This data can be used by companies, organizations, and investors to create strategies, as the finance sector rapidly moves towards data-driven optimization..This book provides an efficient resource, addressing all applications of data analytics in the finance sector. International experts from around the globe cover the most important subjects in finance, including data processing, knowledge management, machine learning models, data modeling, visualization, optimization for financial problems, financial econometrics, financial time series analysis, project management, and decision making. The authors provide empirical evidence as examples of specific topics. By combining both applications and theory, the book offers a holistic approach.?.Therefore, it is a must-read for researchers and scholars of financial economics and finance, as well as practi | | 出版日期 | Book 2022 | | 關(guān)鍵詞 | Digitalization in finance; Machine learning; Predictive techniques; Deep learning; Natural Language Proc | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-030-83799-0 | | isbn_softcover | 978-3-030-83801-0 | | isbn_ebook | 978-3-030-83799-0Series ISSN 2730-6038 Series E-ISSN 2730-6046 | | issn_series | 2730-6038 | | copyright | The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl |
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