This edited book focuses on the latest developments in classification statistical learning
data analysis and related areas of data science including statistical analysis of large
datasets big data analytics time series clustering integration of data from different
sources as well as social networks. It covers both methodological aspects as well as
applications to a wide range of areas such as economics marketing education social sciences
medicine environmental sciences and the pharmaceutical industry. In addition it describes the
basic features of the software behind the data analysis results and provides links to the
corresponding codes and data sets where necessary. This book is intended for researchers and
practitioners who are interested in the latest developments and applications in the field. The
peer-reviewed contributions were presented at the 10th Scientific Meeting of the Classification
and Data Analysis Group (CLADAG) of the Italian Statistical Society held in Santa Margherita
di Pula (Cagliari) Italy October 8-10 2015.
