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Greek Crisis and Its Cultural Origins : A Study in the Theory of Multiple Modernities
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Greek Crisis and Its Cultural Origins : A Study in the Theory of Multiple Modernities
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Greek Crisis and Its Cultural Origins : A Study in the Theory of Multiple Modernities
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Greek Crisis and Its Cultural Origins : A Study in the Theory of Multiple Modernities
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Greek Crisis and Its Cultural Origins : A Study in the Theory of Multiple Modernities
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The Greek Crisis and Its Cultural Origins: A Study in the Theory of Multiple Modernities
Libro 23 di 27: Cultural SociologyDa: Revaluation Books, Exeter, Regno Unito
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Greek Crisis and Its Cultural Origins : A Study in the Theory of Multiple Modernities
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Greek Crisis and Its Cultural Origins : A Study in the Theory of Multiple Modernities
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Greek Crisis and Its Cultural Origins : A Study in the Theory of Multiple Modernities
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Data Science, Classification, and Artificial Intelligence for Modeling Decision Making (Studies in Classification, Data Analysis, and Knowledge Organization)
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Data Science, Classification, and Artificial Intelligence for Modeling Decision Making (Studies in Classification, Data Analysis, and Knowledge Organization)
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Data Analysis and Rationality in a Complex World (Studies in Classification, Data Analysis, and Knowledge Organization)
Libro 42 di 43: Studies in Classification, Data Analysis, and Knowledge OrganizationDa: Lucky's Textbooks, Dallas, TX, U.S.A.
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Data Science, Classification, and Artificial Intelligence for Modeling Decision Making (Studies in Classification, Data Analysis, and Knowledge Organization)
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Data Analysis and Rationality in a Complex World (Studies in Classification, Data Analysis, and Knowledge Organization)
Libro 42 di 43: Studies in Classification, Data Analysis, and Knowledge OrganizationDa: Ria Christie Collections, Uxbridge, Regno Unito
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Modern International Developments in Data Analysis and Multivariate Statistical Analysis
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Data Science, Classification, And Artifi
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Modern International Developments in Data Analysis and Multivariate Statistical Analysis
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Data Science, Classification, and Artificial Intelligence for Modeling Decision Making
Lingua: Inglese
Editore: Springer Nature Switzerland, Springer International Publishing, 2025
ISBN 10: 3031858697 ISBN 13: 9783031858697
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book gathers selected and peer-reviewed contributions presented at the 18th Conference of the International Federation of Classification Societies (IFCS 2024), held in San José, Costa Rica, July 15 19, 2024. Covering a wide range of topics, it describes modern methods and real-world applications in data science, classification, and artificial intelligence related to modeling decision making.Numerous novel techniques and innovative applications are investigated, such as anomaly detection in public procurement processes, multivariate functional data clustering, air pollution prediction, benchmark generation for probabilistic planning, recommendation systems based on symbolic data analysis, and methods for clustering mixed-type data. Advanced statistical concepts are explored, including Vapnik-Chervonenkis dimensionality, Riemannian statistics, hypothesis testing for interval-valued data, and mixed models. Furthermore, machine learning techniques are applied to predict soil bacterial and fungal communities, classify electoral behavior and political competition, and assess corrosion degradation in mining pipelines.The diversity of topics discussed in this collection reflects the ongoing advancement and interdisciplinary nature of statistical and data science research, as well as its application across various fields and sectors. These studies contribute to the development of robust methodologies and efficient computational tools to address complex challenges in the era of big data. The book is intended for researchers and practitioners seeking the latest developments and applications in the field of data science and classification.
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Data Analysis and Rationality in a Complex World (Studies in Classification, Data Analysis, and Knowledge Organization)
Libro 42 di 43: Studies in Classification, Data Analysis, and Knowledge OrganizationDa: Books Puddle, New York, NY, U.S.A.
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Data Science, Classification and Artificial Intelligence for Modeling Decision Making
Lingua: Inglese
Editore: Springer-Nature New York Inc, 2025
ISBN 10: 3031858697 ISBN 13: 9783031858697
Da: Revaluation Books, Exeter, Regno Unito
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Modern International Developments in Data Analysis and Multivariate Statistical Analysis
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Data Analysis and Rationality in a Complex World
Libro 42 di 43: Studies in Classification, Data Analysis, and Knowledge OrganizationLingua: Inglese
Editore: Springer International Publishing, 2021
ISBN 10: 303060103X ISBN 13: 9783030601034
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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.
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Data Science, Classification, And Artifi
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Modern International Developments in Data Analysis and Multivariate Statistical Analysis
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Data Analysis and Rationality in a Complex World
Libro 42 di 43: Studies in Classification, Data Analysis, and Knowledge OrganizationLingua: Inglese
Editore: Springer International Publishing, Springer Nature Switzerland Feb 2021, 2021
ISBN 10: 303060103X ISBN 13: 9783030601034
Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Neuware -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.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 368 pp. Englisch.
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Data Analysis and Rationality in a Complex World (Studies in Classification, Data Analysis, and Knowledge Organization)
Libro 42 di 43: Studies in Classification, Data Analysis, and Knowledge OrganizationDa: Mispah books, Redhill, SURRE, Regno Unito
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Data Analysis and Rationality in a Complex World
Libro 42 di 43: Studies in Classification, Data Analysis, and Knowledge OrganizationDa: Revaluation Books, Exeter, Regno Unito
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Modern International Developments in Data Analysis and Multivariate Statistical Analysis (Paperback)
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Aggiungi al carrelloPaperback. Condizione: new. Paperback. 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. "The primary objectives of the book are to showcase the latest advancements in analytical techniques, highlight innovative applications across diverse fields, and provide a comprehensive resource for understanding and addressing the complexities of modern data"-- Provided by publisher. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
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Modern International Developments in Data Analysis and Multivariate Statistical Analysis (Hardcover)
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Aggiungi al carrelloHardcover. Condizione: new. Hardcover. 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. "The primary objectives of the book are to showcase the latest advancements in analytical techniques, highlight innovative applications across diverse fields, and provide a comprehensive resource for understanding and addressing the complexities of modern data"-- Provided by publisher. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
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Data Science, Classification, and Artificial Intelligence for Modeling Decision Making
Lingua: Inglese
Editore: Springer, Berlin, Springer Nature Switzerland, Springer, 2025
ISBN 10: 3031858697 ISBN 13: 9783031858697
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book gathers selected and peer-reviewed contributions presented at the 18th Conference of the International Federation of Classification Societies (IFCS 2024), held in San José, Costa Rica, July 15 19, 2024. Covering a wide range of topics, it describes modern methods and real-world applications in data science, classification, and artificial intelligence related to modeling decision making.Numerous novel techniques and innovative applications are investigated, such as anomaly detection in public procurement processes, multivariate functional data clustering, air pollution prediction, benchmark generation for probabilistic planning, recommendation systems based on symbolic data analysis, and methods for clustering mixed-type data. Advanced statistical concepts are explored, including Vapnik-Chervonenkis dimensionality, Riemannian statistics, hypothesis testing for interval-valued data, and mixed models. Furthermore, machine learning techniques are applied to predict soil bacterial and fungal communities, classify electoral behavior and political competition, and assess corrosion degradation in mining pipelines.The diversity of topics discussed in this collection reflects the ongoing advancement and interdisciplinary nature of statistical and data science research, as well as its application across various fields and sectors. These studies contribute to the development of robust methodologies and efficient computational tools to address complex challenges in the era of big data. The book is intended for researchers and practitioners seeking the latest developments and applications in the field of data science and classification. 190 pp. Englisch.
