Provides information on the field of geometric modelling. Origin of the discipline; Range of appl.cations covered by geometric modelling; Topics presented at the 5th Dagstuhl seminar on geometric modelling held in May...
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Provides information on the field of geometric modelling. Origin of the discipline; Range of appl.cations covered by geometric modelling; Topics presented at the 5th Dagstuhl seminar on geometric modelling held in May 2002.
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...
详细信息
ISBN:
(数字)9783030668914
ISBN:
(纸本)9783030668907
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 appl.cations in economics and finance. In addition, it shows some successful appl.cations of advanced data science solutions used to extract new knowledge from data in order to improve economic forecasting *** 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 appl.cation 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 *** 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 appl.cations.
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