| 書目名稱 | Data Science for Economics and Finance | | 副標(biāo)題 | Methodologies and Ap | | 編輯 | Sergio Consoli,Diego Reforgiato Recupero,Michaela | | 視頻video | http://file.papertrans.cn/264/263115/263115.mp4 | | 概述 | Covers the use of data science technologies, including advanced machine learning, Semantic Web technologies, social media analysis, and time series forecasting for applications in economics and financ | | 圖書封面 |  | | 描述 | .This open access book covers the use of data science, including advanced machine learning, big data analytics, Semantic Web technologies, natural language processing, social media analysis, time series analysis, among others, for applications in economics and finance. In addition, it shows some successful applications of advanced data science solutions used to extract new knowledge from data in order to improve economic forecasting models...The book starts with an introduction on the use of data science technologies in economics and finance and is followed by thirteen chapters showing success stories of the application of specific data science methodologies, touching on particular topics related to novel big data sources and technologies for economic analysis (e.g. social media and news); big data models leveraging on supervised/unsupervised (deep) machine learning; natural language processing to build economic and financial indicators; and forecasting and nowcasting of economic variables through time series analysis.??..This book is relevant to all stakeholders involved in digital and data-intensive research in economics and finance, helping them to understand the main opportunit | | 出版日期 | Book‘‘‘‘‘‘‘‘ 2021 | | 關(guān)鍵詞 | Open Access; Data Mining; Big Data; Data Analytics; Decision Support Systems; Machine Learning; Semantics | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-030-66891-4 | | isbn_softcover | 978-3-030-66893-8 | | isbn_ebook | 978-3-030-66891-4 | | copyright | The Editor(s) (if applicable) and The Author(s) 2021 |
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