Analysis of Symbolic Data
Exploratory Methods for Extracting Statistical Information from Complex Data
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Author
Contributions
- Diday, Edwin - Contributor
Publication
2000 - Springer Berlin Heidelberg, Berlin, Heidelberg, Germany
Language
English
Word Count
106,250 words, Guess
Page Count
425 pages
Physical Format
Electronic resource
Identifiers
- Open LibraryOL27016722M
- ISBN-139783642571558
- ISBN-103642571557
- OCLC Control Number840292361
Classifications
- LCCQA1-939
Description
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.
Subjects
Series Statement
- Studies in Classification, Data Analysis, and Knowledge Organization, 1431-8814
- Studies in classification, data analysis, and knowledge organization
Links
Other Editions
- Analysis of Symbolic Data: Exploratory Methods for Extracting Statistical Information from Complex Data
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