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Data Science, Learning by Latent Structures, and Knowledge Discovery

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Description

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.
Release date NZ
May 18th, 2015
Audiences
  • Postgraduate, Research & Scholarly
  • Professional & Vocational
Contributors
  • Edited by Berthold Lausen
  • Edited by Matthias Bohmer
  • Edited by Sabine Krolak-Schwerdt
Illustrations
56 Illustrations, color; 89 Illustrations, black and white; XXII, 560 p. 145 illus., 56 illus. in color.
Pages
560
Dimensions
155x235x30
ISBN-13
9783662449820
Product ID
22789488

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