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Recent Trends and Future Challenges in Learning from Data (Paperback)
Language: English
Published by Springer International Publishing AG, Cham, 2024
ISBN 10: 3031544676 ISBN 13: 9783031544675
Paperback. Condition: 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.
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Recent Trends and Future Challenges in Learning from Data
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Recent Trends and Future Challenges in Learning from Data (Studies in Classification, Data Analysis, and Knowledge Organization)
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Recent Trends and Future Challenges in Learning from Data
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Recent Trends in Computational Sciences : Proceedings of the Fourth Annual International Conference on Data Science, Machine Learning and Blockchain Technology Aicdmb 2023, Mysuru, India, 16-17 March 2023
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Recent Trends in Computational Sciences: Proceedings of the Fourth Annual International Conference on Data Science, Machine Learning and Blockchain ... 2023), Mysuru, India, 16-17 March 2023
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Recent Trends in Computational Sciences : Proceedings of the Fourth Annual International Conference on Data Science, Machine Learning and Blockchain Technology Aicdmb 2023, Mysuru, India, 16-17 March 2023
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Recent Trends in Learning From Data (Studies in Computational Intelligence, 896)
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Recent Trends in Learning From Data: Tutorials from the INNS Big Data and Deep Learning Conference (INNSBDDL2019) (Studies in Computational Intelligence)
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Recent Trends in Computational Sciences: Proceedings of the Fourth Annual International Conference on Data Science, Machine Learning and Blockchain Technology (AICDMB 2023), Mysuru, India, 16-17 March 2023
Language: English
Published by Taylor & Francis Ltd, 2023
ISBN 10: 1032426853 ISBN 13: 9781032426853
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Add to basketHardback. Condition: New. New copy - Usually dispatched within 4 working days.
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Recent Trends and Future Challenges in Learning from Data
Language: English
Published by Springer Nature Switzerland, Springer Nature Switzerland Aug 2024, 2024
ISBN 10: 3031544676 ISBN 13: 9783031544675
Taschenbuch. Condition: Neu. 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.
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Condition: New. 2024th edition NO-PA16APR2015-KAP.
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Taschenbuch. Condition: Neu. Recent Trends and Future Challenges in Learning from Data | Cristina Davino (u. a.) | Taschenbuch | 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.
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Add to basketPaperback. Condition: Brand New. 163 pages. 9.25x6.10x9.21 inches. In Stock.
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Recent Trends and Future Challenges in Learning from Data
Language: English
Published by Springer Nature Switzerland, Springer Nature Switzerland Aug 2024, 2024
ISBN 10: 3031544676 ISBN 13: 9783031544675
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. 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 GmbH, Tiergartenstr. 17, 69121 Heidelberg 164 pp. Englisch.
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Recent Trends and Future Challenges in Learning from Data
Language: English
Published by Springer Nature Switzerland, Springer International Publishing Aug 2024, 2024
ISBN 10: 3031544676 ISBN 13: 9783031544675
Taschenbuch. Condition: 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.
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Add to basketHardcover. Condition: Brand New. 300 pages. 9.69x6.88x1.02 inches. In Stock.
