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Data Science, Learning by Latent Structures, and Knowledge Discovery : Studies in Classification, Data Analysis, and Knowledge Organization - Berthold Lausen

Data Science, Learning by Latent Structures, and Knowledge Discovery

By: Berthold Lausen (Editor), Sabine Krolak-Schwerdt (Editor), Matthias Bohmer (Editor)

Paperback | 18 May 2015

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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.

Industry Reviews
"The book under review is strongly recommended to interested theoreticians with strong background in measure and probability theory. Each chapter of the book is accompanied by supportive literature." (Iris Burkholder, (Saarbr¼cken), British Journal of Hospital Medicine, Vol. 79 (5), May, 2018)

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