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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Những tác giả chính: Lausen, Berthold, Krolak-Schwerdt, Sabine, Böhmer, Matthias
Định dạng: Sách
Ngôn ngữ:English
Được phát hành: Springer 2015
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Truy cập trực tuyến:https://scholar.dlu.edu.vn/thuvienso/handle/DLU123456789/58320
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spelling 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
institution Thư viện Trường Đại học Đà Lạt
collection Thư viện số
language English
topic general
Statistics
Data mining
Mathematical statistics
spellingShingle 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