Statistical learning of complex data
Statistical learning of complex data [Documento eletrónico] / edited by Francesca Greselin ... [et al.].
- Cham : Springer International Publishing : Springer , 2019 .
- XIII, 201 p. : il..
- (Studies in Classification Data Analysis and Knowledge Organization)
This book of peer-reviewed contributions presents the latest findings in classification, statistical learning, data analysis and related areas, including supervised and unsupervised classification, clustering, statistical analysis of mixed-type data, big data analysis, statistical modeling, graphical models and social networks. It covers both methodological aspects as well as applications to a wide range of fields such as economics, architecture, medicine, data management, consumer behavior and the gender gap. 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 of data analysis and classification. It gathers selected and peer-reviewed contributions presented at the 11th Scientific Meeting of the Classification and Data Analysis Group of the Italian Statistical Society (CLADAG 2017), held in Milan, Italy, on September 13-15, 2017.
Clicar aqui para aceder a um recurso externo
ISBN 978-3-030-21140-0
Statistics
Mathematical statistics
Data mining
Quantitative research
LCC QA276-280
Clicar aqui para aceder a um recurso externo
ISBN 978-3-030-21140-0
Statistics
Mathematical statistics
Data mining
Quantitative research
LCC QA276-280