Classification and Data Mining
By: edited by Antonio Giusti, Gunter Ritter, Maurizio Vichi
Contributors: Ritter, Gunter; Vichi, Maurizio, 1959-; SpringerLink (Online service)
Series: Studies in Classification, Data Analysis, and Knowledge Organization
Publisher: Springer Berlin Heidelberg; Imprint: Springer
Published: 2013
Place of publication: Berlin, Heidelberg
Language: eng
Format: [electronic resource] /
Number of pages: 286
ISBN-13: 9783642288944
Subjects: Mathematical statistics; Statistics; Data Mining and Knowledge Discovery; Database management; Data mining; Statistical Theory and Methods
Description: ​​​​​​​​​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".​
Table of contents: title: Classification and Data Analysis; title: Data Mining; title: Applications.