Data Science, Learning by Latent Structures, and Knowledge Discovery

Häftad, Engelska, 2015

Av Berthold Lausen, Sabine Krolak-Schwerdt, Matthias Böhmer

2 109 kr

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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.

Produktinformation

  • Utgivningsdatum2015-05-18
  • Mått155 x 235 x 32 mm
  • Vikt873 g
  • FormatHäftad
  • SpråkEngelska
  • SerieStudies in Classification, Data Analysis, and Knowledge Organization
  • Antal sidor560
  • Upplaga2015
  • FörlagSpringer-Verlag Berlin and Heidelberg GmbH & Co. KG
  • ISBN9783662449820