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Data Science, Learning by Latent Structures, and Knowledge Discovery

This volume comprises papers dedicated to data science and the extraction of knowledge from many types of data: structural, quantitative, or statistical approaches for the analysis of data; advances in classification, clustering, and pattern recognition methods; strategies for modeling complex data...

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Korporativní autor: SpringerLink (Online service)
Další autoři: Lausen, Berthold. (Editor, http://id.loc.gov/vocabulary/relators/edt), Krolak-Schwerdt, Sabine. (Editor, http://id.loc.gov/vocabulary/relators/edt), Böhmer, Matthias. (Editor, http://id.loc.gov/vocabulary/relators/edt)
Médium: Elektronický zdroj E-kniha
Jazyk:English
Vydáno: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2015.
Vydání:1st ed. 2015.
Edice:Studies in Classification, Data Analysis, and Knowledge Organization,
Témata:
Statistics .
Marketing.
Psychometrics.
Biostatistics.
Data mining.
Operations research.
Decision making.
Statistics, general.
Data Mining and Knowledge Discovery.
Operations Research/Decision Theory.
On-line přístup:https://doi.org/10.1007/978-3-662-44983-7
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https://doi.org/10.1007/978-3-662-44983-7

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