Classification, (Big) Data Analysis and Statistical Learning

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, held in Santa Margherita di Pula (Cagliari), Italy, October 8–10, 2015.

Presents latest findings in classification, statistical learning and data analysis, including big data analytics and social networks

Features a variety of applications in economics, environmental sciences, data management, and pharmaceutical industry

Focuses on methodological and computational aspects as well as on real-life problems

Autor*in

Francesco Mola

Themen in »Classification, (Big) Data Analysis and Statistical Learning«

00B25, 03-06, 03C45, 91C15, 62H30, 68T10, 91C20, 91D30 classification big data statistical learning clustering data science computational statistics machine learning social networks statistical data analysis time series clustering integration of data applications of statistics

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