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...
This edited volume on the latest advances in data science covers a wide range of topics in the context of data analysis and classification. In particular, it includes contributions on classification methods for high-dimensional data, clustering methods, multivariate statistical methods, and various applications.
This edited volume on the latest advances in data science covers a wide range of topics in the context of data analysis and classification. In particu...
