Ebook: Statistical Learning of Complex Data
- Tags: Statistics, Statistical Theory and Methods, Statistics and Computing/Statistics Programs, Data Mining and Knowledge Discovery, Applied Statistics, Big Data/Analytics
- Series: Studies in Classification Data Analysis and Knowledge Organization
- Year: 2019
- Publisher: Springer International Publishing
- Edition: 1st ed. 2019
- Language: English
- pdf
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.Download the book Statistical Learning of Complex Data for free or read online
Continue reading on any device:
Last viewed books
Related books
{related-news}
Comments (0)