书目名称 | Data Analytics for Management, Banking and Finance | 副标题 | Theories and Applica | 编辑 | Foued Saâdaoui,Yichuan Zhao,Hana Rabbouch | 视频video | | 概述 | Includes big data sources and applications on time series analysis, forecasting and more.Presents the main concepts and a practical guidance on the use of data analytics and visualization techniques.F | 图书封面 |  | 描述 | .This book is a practical guide on the use of various data analytics and visualization techniques and tools in the banking and financial sectors. It focuses on how combining expertise from interdisciplinary areas, such as machine learning and business analytics, can bring forward a shared vision on the benefits of data science from the research point of view to the evaluation of policies. It highlights how data science is reshaping the business sector. It includes examples of novel big data sources and some successful applications on the use of advanced machine learning, natural language processing, networks analysis, and time series analysis and forecasting, among others, in the banking and finance..It includes several case studies where innovative data science models is used to analyse, test or model some crucial phenomena in banking and finance. At the same time, the book is making an appeal for a further adoption of these novel applications in the field of economics and finance so that they can reach their full potential and support policy-makers and the related stakeholders in the transformational recovery of our societies..The book is for stakeholders involved in research and | 出版日期 | Book 2023 | 关键词 | Big Data; Banking; Financial Data Mining; Data Analytics; Finance; Machine Learning; Fintech Industry; Supp | 版次 | 1 | doi | https://doi.org/10.1007/978-3-031-36570-6 | isbn_softcover | 978-3-031-36572-0 | isbn_ebook | 978-3-031-36570-6 | copyright | The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl |
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