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