Classification and Data Mining / SpringerLink (Online service) ; Giusti, Antonio ; Ritter, Gunter ; Vichi, Maurizio (2013)  

Público ISBD Título : Classification and Data Mining Tipo de documento: documento electrónico Autores: SpringerLink (Online service) ; Giusti, Antonio ; Ritter, Gunter ; Vichi, Maurizio Editorial: Berlin, Heidelberg : Springer Berlin Heidelberg Fecha de publicación: 2013 Otro editor: Imprint: Springer Colección: Studies in Classification, Data Analysis, and Knowledge Organization, ISSN 1431-8814 Número de páginas: XIV, 286 p. 85 illus., 49 illus. in color Il.: online resource ISBN/ISSN/DL: 978-3-642-28894-4 Idioma : Inglés (eng) Palabras clave: Statistics  Database  management  Data  mining  Statistical  Theory  and  Methods  Management  Mining  Knowledge  Discovery Clasificación: 51 Matemáticas Resumen: This volume contains both methodological papers showing new original methods, and papers on applications illustrating how new domain-specific knowledge can be made available from data by clever use of data analysis methods. The volume is subdivided in three parts: Classification and Data Analysis; Data Mining; and Applications. The selection of peer reviewed papers had been presented at a meeting of classification societies held in Florence, Italy, in the area of "Classification and Data Mining" Nota de contenido: Classification and Data Analysis -- Data Mining -- Applications En línea: http://dx.doi.org/10.1007/978-3-642-28894-4 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=32498 Classification and Data Mining [documento electrónico] / SpringerLink (Online service) ; Giusti, Antonio ; Ritter, Gunter ; Vichi, Maurizio . - Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2013 . - XIV, 286 p. 85 illus., 49 illus. in color : online resource. - (Studies in Classification, Data Analysis, and Knowledge Organization, ISSN 1431-8814) . ISBN : 978-3-642-28894-4 Idioma : Inglés (eng) Palabras clave: Statistics  Database  management  Data  mining  Statistical  Theory  and  Methods  Management  Mining  Knowledge  Discovery Clasificación: 51 Matemáticas Resumen: This volume contains both methodological papers showing new original methods, and papers on applications illustrating how new domain-specific knowledge can be made available from data by clever use of data analysis methods. The volume is subdivided in three parts: Classification and Data Analysis; Data Mining; and Applications. The selection of peer reviewed papers had been presented at a meeting of classification societies held in Florence, Italy, in the area of "Classification and Data Mining" Nota de contenido: Classification and Data Analysis -- Data Mining -- Applications En línea: http://dx.doi.org/10.1007/978-3-642-28894-4 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=32498

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