Using Taxonomies on Objects and Attributes to Discover Generalized Patterns

نویسندگان

  • Léonard Kwuida
  • Rokia Missaoui
  • Jean Vaillancourt
چکیده

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.

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تاریخ انتشار 2012