Classification and Data Mining

• Corporate Author: SpringerLink (Online service)
• Other Authors: Giusti, Antonio (Editor), Ritter, Gunter (Editor), Vichi, Maurizio (Editor)
• Format: Electronic eBook
• Language: English
• Published: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2013.
• Series: Studies in Classification, Data Analysis, and Knowledge Organization,
• Subjects: Statistics.; Database management.; Data mining.; Statistical Theory and Methods.; Database Management.; Data Mining and Knowledge Discovery.
• Physical Description: XIV, 286 p. 85 illus., 49 illus. in color. online resource.
• ISBN: 9783642288944
• ISSN: 1431-8814

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".