Far Beyond the Classical Data Models: Symbolic Data Analysis

• Type: Article in International Scientific Journal
• Date: 2011

Authors

noirhomme-fraiture, m (Author) Other; brito, p (Author) FEP

Journal

Title: Statistical Analysis and Data Mining

Vol. 4 No. 2

Pages: 157-170

ISSN: 1932-1864

Publisher: Wiley-Blackwell

Indexing

ISI Web of Knowledge

Scopus - 84 Citations

Scientific classification

CORDIS: Physical sciences > Mathematics > Statistics

Other information

Authenticus ID: P-007-XWX

DOI: 10.1002/sam.10112

Abstract (EN): This paper introduces symbolic data analysis, explaining how it extends the classical data models to take into account more complete and complex information. Several examples motivate the approach, before the modeling of variables assuming new types of realizations are formally presented. Some methods for the (multivariate) analysis of symbolic data are presented and discussed. This is however far from being exhaustive, given the present dynamic development of this new field of research. Copyright © 2011 Wiley Periodicals, Inc., A Wiley Company.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 14