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Record Nr. |
UNINA9910254277903321 |
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Titolo |
Data Science : Innovative Developments in Data Analysis and Clustering / / edited by Francesco Palumbo, Angela Montanari, Maurizio Vichi |
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Pubbl/distr/stampa |
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Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 |
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ISBN |
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Edizione |
[1st ed. 2017.] |
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Descrizione fisica |
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1 online resource (346 pages) : color illustrations |
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Collana |
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Studies in Classification, Data Analysis, and Knowledge Organization, , 2198-3321 |
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Disciplina |
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Soggetti |
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Statistics |
Data mining |
Mathematical statistics—Data processing |
Big data |
Statistical Theory and Methods |
Data Mining and Knowledge Discovery |
Statistics and Computing |
Big Data |
Statistics in Engineering, Physics, Computer Science, Chemistry and Earth Sciences |
Statistics in Business, Management, Economics, Finance, Insurance |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di bibliografia |
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Includes bibliographical references. |
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Nota di contenuto |
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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. |
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Sommario/riassunto |
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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 |
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was hosted by the Alma Mater Studiorum, University of Bologna, from July 5 to 8, 2015. |
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