Classification and Data Mining [electronic resource] / edited by Antonio Giusti, Gunter Ritter, Maurizio Vichi.

Contributor(s): Giusti, Antonio [editor.] | Ritter, Gunter [editor.] | Vichi, Maurizio [editor.] | SpringerLink (Online service)Material type: TextTextSeries: Studies in Classification, Data Analysis, and Knowledge OrganizationPublisher: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2013Description: XIV, 286 p. 85 illus., 49 illus. in color. online resourceContent type: text Media type: computer Carrier type: online resourceISBN: 9783642288944Subject(s): Statistics | Database management | Data mining | Statistics | Statistical Theory and Methods | Database Management | Data Mining and Knowledge DiscoveryAdditional physical formats: Printed edition:: No titleDDC classification: 519.5 LOC classification: QA276-280Online resources: Click here to access online
Contents:
Classification and Data Analysis -- Data Mining -- Applications.
In: Springer eBooksSummary: 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".
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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; 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".

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