Produktnummer:
1882ee152ba0b8462c8d7238abfe1d2895
| Themengebiete: | Classification Data Analysis Data Science Data Stream Knowledge Organization Latent Structures |
|---|---|
| Veröffentlichungsdatum: | 18.05.2015 |
| EAN: | 9783662449820 |
| Sprache: | Englisch |
| Seitenzahl: | 560 |
| Produktart: | Kartoniert / Broschiert |
| Herausgeber: | Böhmer, Matthias Krolak-Schwerdt, Sabine Lausen, Berthold |
| Verlag: | Springer Berlin |
Produktinformationen "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 and mining large data sets; applications of advanced methods in specific domains of practice. The contributions offer interesting applications to various disciplines such as psychology, biology, medical and health sciences; economics, marketing, banking and finance; engineering; geography and geology; archeology, sociology, educational sciences, linguistics and musicology; library science. The book contains the selected and peer-reviewed papers presented during the European Conference on Data Analysis (ECDA 2013) which was jointly held by the German Classification Society (GfKl) and the French-speaking Classification Society (SFC) in July 2013 at the University of Luxembourg.
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