Data Science, Learning by Latent Structures, and Knowledge Discovery

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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 details

Edition:
2015
Series:
Studies in Classification, Data Analysis, and Knowledge Organization
Author:
Berthold Lausen, Sabine Krolak-Schwerdt, Matthias Böhmer
ISBN:
9783662449837
Related ISBNs:
9783662449820
Publisher:
Springer Berlin Heidelberg
Pages:
N/A
Reading age:
Not specified
Includes images:
Yes
Date of addition:
2019-10-09
Usage restrictions:
Copyright
Copyright date:
2015
Copyright by:
N/A 
Adult content:
No
Language:
English
Categories:
Business and Finance, Computers and Internet, Mathematics and Statistics, Nonfiction, Psychology, Science