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Data Science, Learning by Latent Structures, and Knowledge Discovery

Edited by Berthold Lausen, Edited by Sabine Krolak-Schwerdt, Edited by Matthias Böhmer

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normal price: R 7 008.95

Price: R 6 657.95


| book 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.

| product details |



Normally shipped | Available from overseas. Usually dispatched in 14 days
Publisher | Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Published date | 18 May 2015
Language |
Format | Paperback / softback
Pages | 560
Dimensions | 235 x 155 x 0mm (L x W x H)
Weight | 0g
ISBN | 978-3-6624-4982-0
Readership Age |
BISAC | reference / research


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