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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.
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