Classification and Data Mining [electronic resource] / edited by Antonio Giusti, Gunter Ritter, Maurizio Vichi.
Tipo de material:
TextoSeries Studies in Classification, Data Analysis, and Knowledge OrganizationEditor: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2013Descripción: XIV, 286 p. 85 illus., 49 illus. in color. online resourceTipo de contenido: text Tipo de medio: computer Tipo de portador: online resourceISBN: 9783642288944Trabajos contenidos: SpringerLink (Online service)Tema(s): Statistics | Database management | Data mining | Mathematical statistics | Statistics | Statistical Theory and Methods | Database Management | Data Mining and Knowledge DiscoveryFormatos físicos adicionales: Sin títuloClasificación CDD: 519.5 Clasificación LoC:QA276-280Recursos en línea: de clik aquí para ver el libro electrónico
Contenidos:
Springer eBooksResumen: 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; andApplications. 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".
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Classification and Data Analysis -- Data Mining -- Applications.
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; andApplications. 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".
ZDB-2-SMA
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