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
Other Authors: Consoli, Sergio (Editor), Reforgiato Recupero, Diego (Editor), Saisana, Michaela (Editor)
Format: Electronic Book Chapter
Language:English
Published: Springer Nature 2021
Subjects:
Data mining
Machine learning
Business mathematics & systems
Public administration
Information retrieval
Data Mining and Knowledge Discovery
Machine Learning
Business Information Systems
Big Data/Analytics
Computer Appl. in Administrative Data Processing
Information Storage and Retrieval
IT in Business
Computer and Information Systems Applications
Open Access
Data Mining
Big Data
Data Analytics
Decision Support Systems
Semantics and Reasoning
Expert systems / knowledge-based systems
Information technology: general issues
Data warehousing
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