Data Science   [electronic resource] : Innovative Developments in Data Analysis and Clustering /
Palumbo, Francesco.editor.
Montanari, Angela.editor.
Vichi, Maurizio.editor.
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. The book gathers a selection of peer-reviewed contributions presented at the Fifteenth Conference of the International Federation of Classification Societies (IFCS2015), which was hosted by the Alma Mater Studiorum, University of Bologna, from July 5 to 8, 2015.
Includes bibliographical references.
Preface -- Part I: Classification Methods for High-Dimensional Data -- Scientific Contributions -- Part II: Clustering Methods and Applications -- Scientific Contributions -- Part III: Multivariate Methods and Applications -- Scientific Contributions.
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. The book gathers a selection of peer-reviewed contributions presented at the Fifteenth Conference of the International Federation of Classification Societies (IFCS2015), which was hosted by the Alma Mater Studiorum, University of Bologna, from July 5 to 8, 2015.
Statistics .
Data mining.
Big data.
Statistical Theory and Methods.
Data Mining and Knowledge Discovery.
Statistics and Computing/Statistics Programs.
Big Data.
Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences.
Statistics for Business, Management, Economics, Finance, Insurance.