Data Science : Innovative Developments in Data Analysis and Clustering / / edited by Francesco Palumbo, Angela Montanari, Maurizio Vichi

• Pubblicazione: Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017
• Edizione: 1st ed. 2017.
• Descrizione fisica: 1 online resource (346 pages) : color illustrations
• Disciplina: 519.5
• Soggetto topico: 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
• Persona (resp. second.): PalumboFrancesco; MontanariAngela; VichiMaurizio
• Nota di bibliografia: Includes bibliographical references.
• Nota di contenuto: 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.
• Sommario/riassunto: 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.
• Titolo autorizzato: Data Science
• ISBN: 3-319-55723-8
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910254277903321
• Lo trovi qui: Univ. Federico II
• Serie: Studies in Classification, Data Analysis, and Knowledge Organization, . 2198-3321