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Data Science, Learning by Latent Structures, and Knowledge Discovery

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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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Series Title

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Call Number

006.312

Publisher

Heidelberg : Springer., 2015

Collation

xxii, 560 pages

Language

English

ISBN/ISSN

9783662449837

Classification

006.312

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Media Type

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Carrier Type

online resource

Edition

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Subject(s)

Data mining

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Statement of Responsibility

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Cataloger

Kurnadi

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