Analysis of Symbolic Data : Exploratory Methods for Extracting Statistical Information from Complex Data /
This first systematic and self-contained monograph on "Symbolic Data Analysis" presents the most recent methods for analyzing and visualizing symbolic data. It generalizes classical methods of exploratory, statistical and graphical data analysis to the case of complex data where the entrie...
| Main Author: | |
|---|---|
| Corporate Author: | |
| Other Authors: | |
| Format: | eBook |
| Language: | English |
| Published: |
Berlin, Heidelberg :
Springer Berlin Heidelberg : Imprint : Springer,
2000.
|
| Series: | Studies in classification, data analysis, and knowledge organization.
|
| Subjects: | |
| Online Access: | Connect to the full text of this electronic book |
| Summary: | This first systematic and self-contained monograph on "Symbolic Data Analysis" presents the most recent methods for analyzing and visualizing symbolic data. It generalizes classical methods of exploratory, statistical and graphical data analysis to the case of complex data where the entries of a data table are, e. g., sets of categories or of numbers, intervals or probability distributions. Typical methods include: graphical displays using Zoom Stars, visualization and feature extraction by symbolic factor analysis, decision trees, discrimination, classification and clustering methods. Several benchmark examples from National Statistical Offices illustrate the usefulness of the methods. The book contains an extensive bibliography and a subject index. |
|---|---|
| Item Description: | Electronic resource. |
| Physical Description: | 1 online resource (XVIII, 425 pages) |
| ISBN: | 9783642571558 (electronic bk.) 3642571557 (electronic bk.) |