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  4. Using Taxonomies on Objects and Attributes to Discover Generalized Patterns
 

Using Taxonomies on Objects and Attributes to Discover Generalized Patterns

URI
https://arbor.bfh.ch/handle/arbor/31705
Version
Published
Date Issued
2012
Author(s)
Kwuida, Léonard  
Missaoui, Rokia
Vaillancourt, Jean
Editor(s)
Szathmary, Laszlo
Priss, Uta
Type
Conference Paper
Language
English
Abstract
In this paper, we show how the existence of taxonomies on objects and/or attributes can be used in formal concept analysis to help discover generalized patterns in the form of concepts. To that end, we analyze three generalization cases and different scenarios of a simultaneous
generalization on both objects and attributes. We also contrast the number of generalized patterns against the number
of simple patterns.
DOI
10.24451/arbor.12977
https://doi.org/10.24451/arbor.12977
Series/Report No.
CEUR Workshop Proceedings
Publisher URL
http://ceur-ws.org/Vol-972/paper28.pdf
Organization
Abteilung Methoden und Grundlagen (AMuG)  
Volume
972
Conference
International Conference on Concept Lattices and Their Applications
Publisher
CEUR-WS.org
Submitter
Kwuida, Léonard
Citation apa
Kwuida, L., Missaoui, R., & Vaillancourt, J. (2012). Using Taxonomies on Objects and Attributes to Discover Generalized Patterns (L. Szathmary & U. Priss, Eds.; Vol. 972, pp. 327–338). CEUR-WS.org. https://doi.org/10.24451/arbor.12977
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