2000 • In Bock, Hans-Herrman; Diday, Edwin (Eds.) Analysis of Symbolic Data: Exploratory methods for extracting statistical information from complex data
[en] Illustrative benchmark analyses obtained in the context of social security statistics where professional careers of retired working persons from Luxembourg are analyses with the help of symbolic data analysis tools, like divisive symbolic clustering of professional careers and symbolic discriminant analysis of apparent retiring scenarios.
Research center :
- Centre de Recherche Public Gabriel Lippmann
Disciplines :
Quantitative methods in economics & management
Author, co-author :
Bisdorff, Raymond ; University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Computer Science and Communications Research Unit (CSC)
External co-authors :
no
Language :
English
Title :
Professional Careers of Retired Working Persons
Publication date :
2000
Main work title :
Analysis of Symbolic Data: Exploratory methods for extracting statistical information from complex data
Author, co-author :
Diday, Edwin
Editor :
Bock, Hans-Herrman
Publisher :
Springer
ISBN/EAN :
3-540-66619-2
Collection name :
Studies in Classification, Data Analysis and Knowledge Organization
