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Generalized pattern extraction from concept lattices

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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 concepts. To that end, we analyze three generalization cases ( ∃, ∀, and α) and present different scenarios of a simultaneous generalization on both objects and attributes. We also discuss the cardinality of the generalized pattern set against the number of simple patterns produced from the initial data set.

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Authors and Affiliations

  1. Department of Business, Bern University of Applied Sciences, Bern, Switzerland

    Léonard Kwuida

  2. Université du Québec en Outaouais, Gatineau, Canada

    Rokia Missaoui, Abdélilah Balamane & Jean Vaillancourt

Authors
  1. Léonard Kwuida
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  2. Rokia Missaoui
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  3. Abdélilah Balamane
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  4. Jean Vaillancourt
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Corresponding author

Correspondence to Rokia Missaoui.

Additional information

This paper is an extended version of [22]

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Kwuida, L., Missaoui, R., Balamane, A. et al. Generalized pattern extraction from concept lattices. Ann Math Artif Intell 72, 151–168 (2014). https://doi.org/10.1007/s10472-014-9411-0

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Keywords

Mathematics Subject Classifications (2010)