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Lausen, Berthold / Matthias Böhmer et al (Hrsg.). Data Science, Learning by Latent Structures, and Knowledge Discovery. Springer Berlin Heidelberg, 2015.
eng

Data Science, Learning by Latent Structures, and Knowledge Discovery

  • Springer Berlin Heidelberg
  • 2015
  • Taschenbuch
  • 584 Seiten
  • ISBN 9783662449820
Herausgeber: Berthold Lausen / Matthias Böhmer / Sabine Krolak-Schwerdt

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

Mehr Weniger
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.

in Kürze