Data Science [electronic resource] Innovative Developments in Data Analysis and Clustering / edited by Francesco Palumbo, Angela Montanari, Maurizio Vichi.
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...
| Uniform Title: | Studies in Classification, Data Analysis, and Knowledge Organization,
2198-3321 |
|---|---|
| Corporate Author: | |
| Other Authors: | |
| Language: | English |
| Published: |
Cham :
Springer International Publishing : Imprint: Springer,
2017.
|
| Edition: | 1st ed. 2017. |
| Series: | Studies in Classification, Data Analysis, and Knowledge Organization,
|
| Subjects: | |
| Online Access: | |
| Variant Title: |
Data Science: Innovative Developments in Data Analysis and Clustering |
| Format: | Electronic eBook |
MARC
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| 245 | 1 | 0 | |a Data Science |h [electronic resource] |b Innovative Developments in Data Analysis and Clustering / |c edited by Francesco Palumbo, Angela Montanari, Maurizio Vichi. |
| 246 | 2 | |a Data Science: Innovative Developments in Data Analysis and Clustering | |
| 250 | |a 1st ed. 2017. | ||
| 264 | 1 | |a Cham : |b Springer International Publishing : |b Imprint: Springer, |c 2017. | |
| 490 | 1 | |a Studies in Classification, Data Analysis, and Knowledge Organization, |x 2198-3321 | |
| 505 | 0 | |a 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. | |
| 520 | |a 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. | ||
| 650 | 0 | |a Statistics . | |
| 650 | 0 | |a Data mining. | |
| 650 | 0 | |a Mathematical statistics—Data processing. | |
| 650 | 0 | |a Big data. | |
| 700 | 1 | |a Palumbo, Francesco. |e editor. |4 edt |4 http://id.loc.gov/vocabulary/relators/edt | |
| 700 | 1 | |a Montanari, Angela. |e editor. |4 edt |4 http://id.loc.gov/vocabulary/relators/edt | |
| 700 | 1 | |a Vichi, Maurizio. |e editor. |4 edt |4 http://id.loc.gov/vocabulary/relators/edt | |
| 710 | 2 | |a SpringerLink (Online service) | |
| 773 | 0 | |t Springer Mathematics and Statistics eBooks 2017 English/International |d Springer Nature | |
| 776 | 0 | 8 | |i Printed edition: |z 9783319557229 |
| 776 | 0 | 8 | |i Printed edition: |z 9783319557243 |
| 776 | 1 | |t Data Science | |
| 830 | 0 | |a Studies in Classification, Data Analysis, and Knowledge Organization, |x 2198-3321 | |
| 856 | 4 | 0 | |y Access Content Online(from Springer Mathematics and Statistics eBooks 2017 English/International) |u https://ezproxy.msu.edu/login?url=https://link.springer.com/10.1007/978-3-319-55723-6 |z Springer Mathematics and Statistics eBooks 2017 English/International: 2017 |