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Classification, (Big) Data Analysis and Statistical Learning
Angielski
331 b
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This edited volume 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 including economics, marketing, education, social sciences, medicine, environmental sciences and pharmaceutical industry. In addition, the book's contributions describe basic features of the software behind the data analysis results, and include 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 t he Italian Statistical Society, held in Santa Margherita di Pula (Cagliari), Italy, October 8 - 10, 2015.
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