ISBN: 9783031544675 - recent trends and future challenges in learning from data (16 risultati)

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  • Lingua: Inglese

    Editore: Springer International Publishing AG, Cham, 2024

    3031544676 / 9783031544675

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    Paperback. Condizione: new. Paperback. This book collects together selected peer-reviewed contributions presented at the European Conference on Data Analysis, ECDA 2022, held in Naples, Italy, September 14-16, 2022. Highlighting the role of statistics in discovering novel and interesting patterns in the era of big data, it follows the motto of the conference: Avoiding drowning in the data: recent trends and future challenges in learning from data. The central focus is on multidisciplinary approaches to data analysis, classification, and the interface between computer science, data mining and statistics. Both methodological and applied topics are covered. The former includes supervised and unsupervised techniques with particular emphasis on advances in regression and clustering analysis and constructing composite indicators. The applications are mainly in risk analysis, biology, and education. The volume is organized into four main macro themes: methodological contributions in the social sciences and education, multivariate analysis methods for big data, innovative contributions for applications inspired by biology, and strategies for analyzing complex data in finance. This book collects together selected peer-reviewed contributions presented at the European Conference on Data Analysis, ECDA 2022, held in Naples, Italy, September 14-16, 2022. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

  • Lingua: Inglese

    Editore: Springer, 2024

    3031544676 / 9783031544675

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  • Lingua: Inglese

    Editore: Springer, 2024

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  • Lingua: Inglese

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    Lingua: Inglese

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    Taschenbuch. Condizione: Neu. Recent Trends and Future Challenges in Learning from Data | Cristina Davino (u. a.) | Taschenbuch | Studies in Classification, Data Analysis, and Knowledge Organization | x | Englisch | 2024 | Springer | EAN 9783031544675 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.…

  • Lingua: Inglese

    Editore: Springer, 2024

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    Taschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book collects together selected peer-reviewed contributions presented at the European Conference on Data Analysis, ECDA 2022, held in Naples, Italy, September 14-16, 2022. Highlighting the role of statistics in discovering novel and interesting patterns in the era of big data, it follows the motto of the conference: 'Avoiding drowning in the data: recent trends and future challenges in learning from data'. The central focus is on multidisciplinary approaches to data analysis, classification, and the interface between computer science, data mining and statistics. Both methodological and applied topics are covered. The former includes supervised and unsupervised techniques with particular emphasis on advances in regression and clustering analysis and constructing composite indicators. The applications are mainly in risk analysis, biology, and education. The volume is organized into four main macro themes: methodological contributions in the social sciences and education, multivariate analysis methods for big data, innovative contributions for applications inspired by biology, and strategies for analyzing complex data in finance.…

  • Lingua: Inglese

    Editore: Springer, 2024

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  • Lingua: Inglese

    Editore: Springer Nature, 2024

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    Paperback. Condizione: Brand New. 163 pages. 9.25x6.10x9.21 inches. In Stock.

  • Lingua: Inglese

    Editore: Springer International Publishing AG, Cham, 2024

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    Paperback. Condizione: new. Paperback. This book collects together selected peer-reviewed contributions presented at the European Conference on Data Analysis, ECDA 2022, held in Naples, Italy, September 14-16, 2022. Highlighting the role of statistics in discovering novel and interesting patterns in the era of big data, it follows the motto of the conference: Avoiding drowning in the data: recent trends and future challenges in learning from data. The central focus is on multidisciplinary approaches to data analysis, classification, and the interface between computer science, data mining and statistics. Both methodological and applied topics are covered. The former includes supervised and unsupervised techniques with particular emphasis on advances in regression and clustering analysis and constructing composite indicators. The applications are mainly in risk analysis, biology, and education. The volume is organized into four main macro themes: methodological contributions in the social sciences and education, multivariate analysis methods for big data, innovative contributions for applications inspired by biology, and strategies for analyzing complex data in finance. This book collects together selected peer-reviewed contributions presented at the European Conference on Data Analysis, ECDA 2022, held in Naples, Italy, September 14-16, 2022. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.…

  • Lingua: Inglese

    Editore: Springer, 2024

    3031544676 / 9783031544675

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  • Lingua: Inglese

    Editore: Springer Nature, 2024

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    Paperback. Condizione: Brand New. 163 pages. 9.25x6.10x9.21 inches. In Stock. This item is printed on demand.

  • Lingua: Inglese

    Editore: Springer, Springer Aug 2024, 2024

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    Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book collects together selected peer-reviewed contributions presented at the European Conference on Data Analysis, ECDA 2022, held in Naples, Italy, September 14-16, 2022. Highlighting the role of statistics in discovering novel and interesting patterns in the era of big data, it follows the motto of the conference: 'Avoiding drowning in the data: recent trends and future challenges in learning from data'. The central focus is on multidisciplinary approaches to data analysis, classification, and the interface between computer science, data mining and statistics. Both methodological and applied topics are covered. The former includes supervised and unsupervised techniques with particular emphasis on advances in regression and clustering analysis and constructing composite indicators. The applications are mainly in risk analysis, biology, and education. The volume is organized into four main macro themes: methodological contributions in the social sciences and education, multivariate analysis methods for big data, innovative contributions for applications inspired by biology, and strategies for analyzing complex data in finance. 164 pp. Englisch.…

  • Lingua: Inglese

    Editore: Springer, Berlin|Springer Nature Switzerland|Springer, 2024

    3031544676 / 9783031544675

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    Kartoniert / Broschiert. Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. This book collects together selected peer-reviewed contributions presented at the European Conference on Data Analysis, ECDA 2022, held in Naples, Italy, September 14-16, 2022. Highlighting the role of statistics in discovering novel and interesting patt. …

  • Lingua: Inglese

    Editore: Springer, Springer Aug 2024, 2024

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    Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book collects together selected peer-reviewed contributions presented at the European Conference on Data Analysis, ECDA 2022, held in Naples, Italy, September 14-16, 2022. Highlighting the role of statistics in discovering novel and interesting patterns in the era of big data, it follows the motto of the conference: ¿Avoiding drowning in the data: recent trends and future challenges in learning from datä. The central focus is on multidisciplinary approaches to data analysis, classification, and the interface between computer science, data mining and statistics. Both methodological and applied topics are covered. The former includes supervised and unsupervised techniques with particular emphasis on advances in regression and clustering analysis and constructing composite indicators. The applications are mainly in risk analysis, biology, and education. The volume is organized into four main macro themes: methodological contributions in the social sciences and education, multivariate analysis methods for big data, innovative contributions for applications inspired by biology, and strategies for analyzing complex data in finance.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 164 pp. Englisch.…

  • Lingua: Inglese

    Editore: Springer, 2024

    3031544676 / 9783031544675

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  • Lingua: Inglese

    Editore: Springer, 2024

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