Using Taxonomies on Objects and Attributes to Discover Generalized Patterns

Kwuida, Léonard; Missaoui, Rokia; Vaillancourt, Jean (2012). Using Taxonomies on Objects and Attributes to Discover Generalized Patterns In: Szathmary, Laszlo; Priss, Uta (eds.) International Conference on Concept Lattices and Their Applications. CEUR Workshop Proceedings: Vol. 972 (pp. 327-338). CEUR-WS.org

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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.

Item Type:	Conference or Workshop Item (Paper)
Division/Institute:	Business School > Business Foundations and Methods
Name:	Kwuida, Léonard0000-0002-9811-0747; Missaoui, Rokia; Vaillancourt, Jean; Szathmary, Laszlo and Priss, Uta
Series:	CEUR Workshop Proceedings
Publisher:	CEUR-WS.org
Language:	English
Submitter:	Léonard Kwuida
Date Deposited:	01 Oct 2020 14:09
Last Modified:	23 Oct 2021 02:17
ARBOR DOI:	10.24451/arbor.12977
URI:	https://arbor.bfh.ch/id/eprint/12977