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Navigating Complexity: Statistical Methods, Data Analysis, and Machine Learning for Actionable Insights - Couverture souple
Synopsis
This volume gathers selected, peer-reviewed contributions presented at the 19th Conference of the International Federation of Classification Societies (IFCS 2026), held on 14–16 July 2026 in Milan, Italy. Reflecting the volume’s motto, Navigating Complexity – Statistical Methods, Data Analysis, and Machine Learning for Actionable Insights, the papers showcase modern methodologies and real-world applications designed to extract actionable insights from intricate data. The topics span a wide range of areas within statistics, machine learning, and data science, including model-based clustering, Bayesian methods, anomaly detection, and predictive modeling. Novel and tailored models are proposed for complex data types, such as mixed-type, compositional, and functional data. Furthermore, advanced statistical concepts and cutting-edge artificial intelligence techniques are explored, underscoring the interdisciplinary effort required to address complex challenges in today’s data-driven landscape.
Founded in 1985, the International Federation of Classification Societies (IFCS) and its biennial conference are dedicated to promoting mutual communication, cooperation, and the interchange of views among those interested in the scientific principles, numerical methods, and practice of data science, data analysis, and classification.
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Navigating Complexity
Edité par
Springer, Berlin, Springer Aug 2026, 2026
ISBN 10 : 3032320089
ISBN 13 : 9783032320087
Neuf
Taschenbuch
Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This volume gathers selected, peer-reviewed contributions presented at the 19th Conference of the International Federation of Classification Societies (IFCS 2026), held on 14 16 July 2026 in Milan, Italy. Reflecting the volume s motto, Navigating Complexity Statistical Methods, Data Analysis, and Machine Learning for Actionable Insights, the papers showcase modern methodologies and real-world applications designed to extract actionable insights from intricate data. The topics span a wide range of areas within statistics, machine learning, and data science, including model-based clustering, Bayesian methods, anomaly detection, and predictive modeling. Novel and tailored models are proposed for complex data types, such as mixed-type, compositional, and functional data. Furthermore, advanced statistical concepts and cutting-edge artificial intelligence techniques are explored, underscoring the interdisciplinary effort required to address complex challenges in today s data-driven landscape.Founded in 1985, the International Federation of Classification Societies (IFCS) and its biennial conference are dedicated to promoting mutual communication, cooperation, and the interchange of views among those interested in the scientific principles, numerical methods, and practice of data science, data analysis, and classification. 304 pp. Englisch. N° de réf. du vendeur 9783032320087
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Navigating Complexity: Statistical Methods, Data Analysis, and Machine Learning for Actionable Insights (Studies in Classification, Data Analysis, and Knowledge Organization)
Vendeur : California Books, Miami, FL, Etats-Unis
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Navigating Complexity | Statistical Methods, Data Analysis, and Machine Learning for Actionable Insights
Vendeur : preigu, Osnabrück, Allemagne
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Taschenbuch. Etat : Neu. Navigating Complexity | Statistical Methods, Data Analysis, and Machine Learning for Actionable Insights | Paula Brito (u. a.) | Taschenbuch | xii | Englisch | 2026 | Springer | EAN 9783032320087 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu. N° de réf. du vendeur 136040857
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Navigating Complexity : Statistical Methods, Data Analysis, and Machine Learning for Actionable Insights
Edité par
Springer, Berlin, Springer, 2026
ISBN 10 : 3032320089
ISBN 13 : 9783032320087
Neuf
Taschenbuch
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Taschenbuch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - This volume gathers selected, peer-reviewed contributions presented at the 19th Conference of the International Federation of Classification Societies (IFCS 2026), held on 14 16 July 2026 in Milan, Italy. Reflecting the volume s motto, Navigating Complexity Statistical Methods, Data Analysis, and Machine Learning for Actionable Insights, the papers showcase modern methodologies and real-world applications designed to extract actionable insights from intricate data. The topics span a wide range of areas within statistics, machine learning, and data science, including model-based clustering, Bayesian methods, anomaly detection, and predictive modeling. Novel and tailored models are proposed for complex data types, such as mixed-type, compositional, and functional data. Furthermore, advanced statistical concepts and cutting-edge artificial intelligence techniques are explored, underscoring the interdisciplinary effort required to address complex challenges in today s data-driven landscape.Founded in 1985, the International Federation of Classification Societies (IFCS) and its biennial conference are dedicated to promoting mutual communication, cooperation, and the interchange of views among those interested in the scientific principles, numerical methods, and practice of data science, data analysis, and classification. N° de réf. du vendeur 9783032320087
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Navigating Complexity (Paperback)
Edité par
Springer Nature Switzerland AG, Cham, 2026
ISBN 10 : 3032320089
ISBN 13 : 9783032320087
Neuf
Paperback
Vendeur : CitiRetail, Stevenage, Royaume-Uni
Évaluation du vendeur 5 sur 5 étoiles
Paperback. Etat : new. Paperback. This volume gathers selected, peer-reviewed contributions presented at the 19th Conference of the International Federation of Classification Societies (IFCS 2026), held on 1416 July 2026 in Milan, Italy. Reflecting the volumes motto, Navigating Complexity Statistical Methods, Data Analysis, and Machine Learning for Actionable Insights, the papers showcase modern methodologies and real-world applications designed to extract actionable insights from intricate data. The topics span a wide range of areas within statistics, machine learning, and data science, including model-based clustering, Bayesian methods, anomaly detection, and predictive modeling. Novel and tailored models are proposed for complex data types, such as mixed-type, compositional, and functional data. Furthermore, advanced statistical concepts and cutting-edge artificial intelligence techniques are explored, underscoring the interdisciplinary effort required to address complex challenges in todays data-driven landscape.Founded in 1985, the International Federation of Classification Societies (IFCS) and its biennial conference are dedicated to promoting mutual communication, cooperation, and the interchange of views among those interested in the scientific principles, numerical methods, and practice of data science, data analysis, and classification. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. N° de réf. du vendeur 9783032320087
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Navigating Complexity
Edité par
Springer Verlag GmbH, 2026
ISBN 10 : 3032320089
ISBN 13 : 9783032320087
Neuf
Couverture souple
Vendeur : moluna, Greven, Allemagne
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Etat : New. N° de réf. du vendeur 3439035078
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Navigating Complexity: Statistical Methods, Data Analysis, and Machine Learning for Actionable Insights (Studies in Classification, Data Analysis, and Knowledge Organization)
Vendeur : Revaluation Books, Exeter, Royaume-Uni
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Paperback. Etat : Brand New. 316 pages. 6.14x0.67x9.21 inches. In Stock. N° de réf. du vendeur x-3032320089
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