Classification, (Big) Data Analysis and Statistical Learning (Paperback, 1st ed. 2018)

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.

General

Imprint:	Springer International Publishing AG
Country of origin:	Switzerland
Series:	Studies in Classification, Data Analysis, and Knowledge Organization
Release date:	February 2018
First published:	2017
Editors:	Francesco Mola • Claudio Conversano • Maurizio Vichi
Dimensions:	235 x 155 x 20mm (L x W x T)
Format:	Paperback
Pages:	242
Edition:	1st ed. 2018
ISBN-13:	978-3-319-55707-6
Categories:	Books > Science & Mathematics > Mathematics > Probability & statistics Books > Computing & IT > Computer software packages > Other software packages > Mathematical & statistical software Books > Computing & IT > Applications of computing > Databases > Data mining
LSN:	3-319-55707-6
Barcode:	9783319557076

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