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Classification, (Big) Data Analysis and Statistical Learning
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ISBN: 3319557084 3319557076 Year: 2018 Publisher: Cham : Springer International Publishing : Imprint: Springer,

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Abstract

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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Ceb design manual : structural effects of time-dependent behavior of concrete
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Year: 1980 Publisher: Paris : C.E.B. (Comité européen du béton),

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