Leseprobe
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Classification, (Big) Data Analysis and Statistical Learning
Maurizio Vichi (Hrsg.), Francesco Mola (Hrsg.), Claudio Conversano (Hrsg.)
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Springer International Publishing 
Naturwissenschaften, Medizin, Informatik, Technik / Wahrscheinlichkeitstheorie, Stochastik, Mathematische Statistik
Beschreibung
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, heldin Santa Margherita di Pula (Cagliari), Italy, October 8–10, 2015.
Kundenbewertungen
big data, time series clustering, applications of statistics, integration of data, machine learning, classification, 00B25, 03-06, 03C45, 91C15, 62H30, 68T10, 91C20, 91D30, data science, statistical data analysis, clustering, computational statistics, statistical learning, social networks