Data Science, Learning by Latent Structures, and Knowledge Discovery - Couverture souple

Livre 30 sur 43: Studies in Classification, Data Analysis, and Knowledge Organization
 
9783662449820: Data Science, Learning by Latent Structures, and Knowledge Discovery

Synopsis

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.

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.