TY  - BOOK
AU  - Palumbo,Francesco
AU  - Montanari,Angela
AU  - Vichi,Maurizio
ED  - SpringerLink (Online service)
TI  - Data Science: Innovative Developments in Data Analysis and Clustering 
T2  - Studies in Classification, Data Analysis, and Knowledge Organization,
SN  - 9783319557236
AV  - QA276-280 
U1  - 519.5 23
PY  - 2017///
CY  - Cham
PB  - Springer International Publishing, Imprint: Springer
KW  - Mathematical statistics
KW  - Data mining
KW  - Big data
KW  - Statistics
KW  - Statistical Theory and Methods
KW  - Data Mining and Knowledge Discovery
KW  - Statistics and Computing/Statistics Programs
KW  - Big Data
KW  - Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences
KW  - Statistics for Business/Economics/Mathematical Finance/Insurance
N1  - 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
N2  - 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
UR  - https://doi.org/10.1007/978-3-319-55723-6
ER  -