Data Science, Learning by Latent Structures, and Knowledge Discovery
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 a...
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oai:scholar.dlu.edu.vn:DLU123456789-583202023-11-11T06:09:26Z Data Science, Learning by Latent Structures, and Knowledge Discovery Lausen, Berthold Krolak-Schwerdt, Sabine Böhmer, Matthias general Statistics Data mining Mathematical statistics 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. 2015-09-16T07:56:01Z 2015-09-16T07:56:01Z 2015 Book 978-3-662-44983-7 978-3-662-44982-0 https://scholar.dlu.edu.vn/thuvienso/handle/DLU123456789/58320 en application/pdf Springer |
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general Statistics Data mining Mathematical statistics |
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general Statistics Data mining Mathematical statistics Lausen, Berthold Krolak-Schwerdt, Sabine Böhmer, Matthias Data Science, Learning by Latent Structures, and Knowledge Discovery |
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. |
format |
Book |
author |
Lausen, Berthold Krolak-Schwerdt, Sabine Böhmer, Matthias |
author_facet |
Lausen, Berthold Krolak-Schwerdt, Sabine Böhmer, Matthias |
author_sort |
Lausen, Berthold |
title |
Data Science, Learning by Latent Structures, and Knowledge Discovery |
title_short |
Data Science, Learning by Latent Structures, and Knowledge Discovery |
title_full |
Data Science, Learning by Latent Structures, and Knowledge Discovery |
title_fullStr |
Data Science, Learning by Latent Structures, and Knowledge Discovery |
title_full_unstemmed |
Data Science, Learning by Latent Structures, and Knowledge Discovery |
title_sort |
data science, learning by latent structures, and knowledge discovery |
publisher |
Springer |
publishDate |
2015 |
url |
https://scholar.dlu.edu.vn/thuvienso/handle/DLU123456789/58320 |
_version_ |
1819791640569577472 |