Open Daily: 10am - 10pm | Alley door pickup 10am - 7pm 3038 Hennepin Ave Minneapolis, MN
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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Data Science, Learning by Latent Structures, and Knowledge Discovery

Data Science, Learning by Latent Structures, and Knowledge Discovery

Lausen, Berthold
Krolak-Schwerdt, Sabine
Böhmer, Matthias

Paperback

Series: Studies in Classification, Data Analysis, and Knowledge Orga

MarketingGeneral PsychologyProbability & Statistics

ISBN10: 366244982X
ISBN13: 9783662449820
Publisher: Springer Nature
Published: May 18 2015
Pages: 560
Weight: 1.78
Height: 1.18 Width: 6.14 Depth: 9.21
Language: English

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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