Data Science, Learning by Latent Structures, and Knowledge Discovery

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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Bibliographic Details
Published in:Springer eBooks
Corporate Author: SpringerLink (Online service)
Other Authors: Lausen, Berthold (Editor), Krolak-Schwerdt, Sabine (Editor), Böhmer, Matthias (Editor)
Format: eBook
Language:English
Published: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2015.
Series:Studies in Classification, Data Analysis, and Knowledge Organization,
Subjects:
Statistics.
Marketing.
Operations research.
Decision making.
Data mining.
Biostatistics.
Psychometrics.
Statistics, general.
Data Mining and Knowledge Discovery.
Operation Research/Decision Theory.
Online Access:http://dx.doi.org/10.1007/978-3-662-44983-7
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http://dx.doi.org/10.1007/978-3-662-44983-7
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