Data Science, Learning by Latent Structures, and Knowledge Discovery

Author:   Berthold Lausen ,  Sabine Krolak-Schwerdt
Publisher:   Springer
ISBN:  

9783662449837


Pages:   552
Publication Date:   01 January 2015
Format:   Electronic book text
Availability:   Available To Order   Availability explained
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Data Science, Learning by Latent Structures, and Knowledge Discovery


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Overview

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.

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Author:   Berthold Lausen ,  Sabine Krolak-Schwerdt
Publisher:   Springer
Imprint:   Springer
ISBN:  

9783662449837


ISBN 10:   3662449838
Pages:   552
Publication Date:   01 January 2015
Audience:   General/trade ,  General
Format:   Electronic book text
Publisher's Status:   Active
Availability:   Available To Order   Availability explained
We have confirmation that this item is in stock with the supplier. It will be ordered in for you and dispatched immediately.
Language:   Undetermined

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