This edited volume 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 including economics, marketing, education, social sciences, medicine, environmental sciences and pharmaceutical industry. In addition, the book's contributions describe basic features of the software...
This edited volume focuses on the latest developments in classification, statistical learning, data analysis and related areas of data science, inc...