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...
| Corporate Author: | SpringerLink (Online service) |
|---|---|
| Other Authors: | Lausen, Berthold (Editor), Krolak-Schwerdt, Sabine (Editor), Böhmer, Matthias (Editor) |
| Format: | Electronic eBook |
| Language: | English |
| Published: |
Berlin, Heidelberg :
Springer Berlin Heidelberg : Imprint: Springer,
2015.
|
| Series: | Studies in Classification, Data Analysis, and Knowledge Organization,
|
| Subjects: | |
| Online Access: | Full Text via HEAL-Link |
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