Data Science, Learning by Latent Structures, and Knowledge Discovery



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Springer


Paru le : 2015-05-06



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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.
Pages
560 pages
Collection
n.c
Parution
2015-05-06
Marque
Springer
EAN papier
9783662449820
EAN PDF
9783662449837

Informations sur l'ebook
Nombre pages copiables
5
Nombre pages imprimables
56
Taille du fichier
31314 Ko
Prix
147,69 €
EAN EPUB
9783662449837

Informations sur l'ebook
Nombre pages copiables
5
Nombre pages imprimables
56
Taille du fichier
6103 Ko
Prix
147,69 €

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