Classification, (Big) Data Analysis and Statistical Learning

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Description

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.

Pages
242 pages
Collection
Studies in Classification, Data Analysis, and Knowledge Organization
Parution
2018-02-21
Marque
Springer
EAN papier
9783319557076
EAN PDF
9783319557083

Informations sur l'ebook
Nombre pages copiables
2
Nombre pages imprimables
24
Taille du fichier
7363 Ko
Prix
105,49 €