Classification and Data Science in the Digital Age

Classification and Data Science in the Digital Age

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The contributions gathered in this open access book focus on modern methods for data science and classification and present a series of real-world applications. Numerous research topics are covered, ranging from statistical inference and modeling to clustering and dimension reduction, from functiona...

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Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: Brito, Paula (Editor), Dias, José G. (Editor), Lausen, Berthold (Editor), Montanari, Angela (Editor), Nugent, Rebecca (Editor)
Format: Electronic eBook
Language:English
Published: Cham : Springer International Publishing : Imprint: Springer, 2023.
Edition:1st ed. 2023.
Series:Studies in Classification, Data Analysis, and Knowledge Organization,
Subjects:
Artificial intelligence > Data processing.
Machine learning.
Data mining.
Multivariate analysis.
Statistics > Computer programs.
Data Science.
Statistical Learning.
Machine Learning.
Data Mining and Knowledge Discovery.
Multivariate Analysis.
Statistical Software.
Online Access:Link to Metadata
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