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.