Recent Trends and Future Challenges in Learning from Data

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Recent Trends and Future Challenges in Learning from Data

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Produktdetails

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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Produktspezifikationen

Autor
DIVERSE
Format
gebundene Ausgabe
Sprachfassung
Englisch
Seiten
153
Erscheinungsdatum
2024-08-10
Verlag
Springer International Publishing

Produktkennung

Artikelnummer m0000NFZSX
EAN 9783031544675
GTIN 09783031544675

Zusatzinfo und Downloads

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.

Produktspezifikationen

Autor
DIVERSE
Format
gebundene Ausgabe
Sprachfassung
Englisch
Seiten
153
Erscheinungsdatum
2024-08-10
Verlag
Springer International Publishing

Produktkennung

Artikelnummer m0000NFZSX
EAN 9783031544675
GTIN 09783031544675

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