株式会社極東書店トップ ＞ 商品一覧 ＞ Data Science for Economics and Finance : Methodologies and Applications.
商品詳細
Data Science for Economics and Finance : Methodologies and Applications. 経済学と金融のためのデータ科学
・ISBN 978-3-030-66890-7 hard EUR 49.99
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・ISBN 978-3-030-66893-8 paper EUR 39.99
￥10,688.- (税込) ※（※）価格はご注文時の参考価格となります。
納品価格につきましては書籍の入荷時点で確定となります。
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| 著者・編者 | Consoli, Sergio / Reforgiato Recupero, Diego et al. (eds.), |
|---|---|
| 出版社 | (Springer, GW) |
| 出版年月 | 2021.06 |
| ページ数 | 353 pp. |
| 言語 | ENG |
| ニュース番号 | ＜662-255 662-L658＞ |
解説
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 opportunities and challenges, become familiar with the latest methodological findings, and learn how to use and evaluate the performances of novel tools and frameworks. It primarily targets data scientists and business analysts exploiting data science technologies, and it will also be a useful resource to research students in disciplines and courses related to these topics. Overall, readers will learn modern and effective data science solutions to create tangible innovations for economic and financial applications.