Data Science for Economics and Finance Methodologies and Applications /

Data Science for Economics and Finance Methodologies and Applications /

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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 succ...

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Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: Consoli, Sergio (Editor), Reforgiato Recupero, Diego (Editor), Saisana, Michaela (Editor)
Format: Electronic eBook
Language:English
Published: Cham : Springer International Publishing : Imprint: Springer, 2021.
Edition:1st ed. 2021.
Subjects:
Data mining.
Machine learning.
Business information services.
Quantitative research.
Information technology > Management.
Information storage and retrieval systems.
Data Mining and Knowledge Discovery.
Machine Learning.
Business Information Systems.
Data Analysis and Big Data.
Computer Application in Administrative Data Processing.
Information Storage and Retrieval.
Online Access:Link to Metadata
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