Data Science, Learning by Latent Structures, and Knowledge Discovery (2015) (Studies in Classification, Data Analysis, and Knowledge Organization)

By: Berthold Lausen and Sabine Krolak-Schwerdt and Matthias Böhmer

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Synopsis: 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.

Book Quality:: Publisher Quality
ISBN-13:: 9783662449837
Related ISBNs:: 9783662449820
Publisher:: Springer Berlin Heidelberg
Date of Addition:: 10/09/19
Copyrighted By:: N/A
Adult content:: No
Language:: English
Has Image Descriptions:: No
Categories:: Nonfiction, Science, Computers and Internet, Business and Finance, Psychology, Mathematics and Statistics
Submitted By:: Bookshare Staff
Usage Restrictions:: This is a copyrighted book.
Edited by:: Berthold Lausen
Edited by:: Sabine Krolak-Schwerdt
Edited by:: Matthias Böhmer