Data Science, Learning by Latent Structures, and Knowledge Discovery / Studies in Classification, Data Analysis, and Knowledge Organization (PDF)
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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.
- 2015, 2015, 560 Seiten, Englisch
- Herausgegeben: Berthold Lausen, Sabine Krolak-Schwerdt, Matthias Böhmer
- Verlag: Springer-Verlag GmbH
- ISBN-10: 3662449838
- ISBN-13: 9783662449837
- Erscheinungsdatum: 06.05.2015
Abhängig von Bildschirmgrösse und eingestellter Schriftgrösse kann die Seitenzahl auf Ihrem Lesegerät variieren.
- Dateiformat: PDF
- Grösse: 30 MB
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