Data Analysis And Rationality In A Complex World
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Data Analysis and Rationality in a Complex World
Author: Theodore Chadjipadelis
language: en
Publisher: Springer Nature
Release Date: 2021-02-15
This volume presents the latest advances in statistics and data science, including theoretical, methodological and computational developments and practical applications related to classification and clustering, data gathering, exploratory and multivariate data analysis, statistical modeling, and knowledge discovery and seeking. It includes contributions on analyzing and interpreting large, complex and aggregated datasets, and highlights numerous applications in economics, finance, computer science, political science and education. It gathers a selection of peer-reviewed contributions presented at the 16th Conference of the International Federation of Classification Societies (IFCS 2019), which was organized by the Greek Society of Data Analysis and held in Thessaloniki, Greece, on August 26-29, 2019.
Data Analysis and Rationality in a Complex World
This volume presents the latest advances in statistics and data science, including theoretical, methodological and computational developments and practical applications related to classification and clustering, data gathering, exploratory and multivariate data analysis, statistical modeling, and knowledge discovery and seeking. It includes contributions on analyzing and interpreting large, complex and aggregated datasets, and highlights numerous applications in economics, finance, computer science, political science and education. It gathers a selection of peer-reviewed contributions presented at the 16th Conference of the International Federation of Classification Societies (IFCS 2019), which was organized by the Greek Society of Data Analysis and held in Thessaloniki, Greece, on August 26-29, 2019.
Modern International Developments in Data Analysis and Multivariate Statistical Analysis
In recent years, data analysis and multivariate statistical analysis have globally evolved, driven by advances in computing power, the rise of big data, and the growing demand for data-informed decision-making across sectors. Modern developments now integrate machine learning, artificial intelligence (AI), and data techniques, enabling more sophisticated analysis of complex, multi-variable datasets. Globally, collaborations between academic institutions, governments, and businesses fuel innovation, standardization, and accessibility in statistical methodologies. These advancements enhance predictions and insights, while supporting applications in fields like healthcare, finance, environmental science, and policy. Modern International Developments in Data Analysis and Multivariate Statistical Analysis explores the development and dissemination of methods of data analysis and multivariate statistical analysis. It examines new fields that can be developed based on relevant international developments in statistical science. This book covers topics such as geopolitics, machine learning, and policymaking, and is a useful resource for business owners, engineers, policymakers, academicians, researchers, and data scientists.