Towards a Navigation Paradigm for Triadic Concepts
The simple formalization and the intuitive graphical representation are main reasons for the growing popularity of Formal Concept Analysis (FCA). FCA gives the user the possibility to explore the structure of data and understand correlations and implications in the data set. Recently, triadic FCA (3FCA) has become increasingly popular, but exploring triadic conceptual landscapes is not easy, especially because of the less immediate structure of the space of triadic concepts. Even more, available graphical representations of trilattices are barely intelligible and hard to obtain even for small data sets. Driven by practical requirements, we propose a new navigation paradigm for triadic conceptual landscapes based on a neighborhood notion arising from appropriately defined dyadic concept lattices. Understanding the corresponding reachability relation gives also new theoretical insights about the behavior of triadic concepts and the corresponding triadic data sets.
KeywordsDerivation Operator Concept Lattice Formal Context Formal Concept Analysis Object Concept
- 6.Gnatyshak, D., Ignatov, D.I., Kuznetsov, S.O.: From triadic FCA to triclustering: Experimental comparison of some triclustering algorithms. In: Ojeda-Aciego, M., Outrata, J. (eds.) Proceedings of the Tenth International Conference on Concept Lattices and Their Applications, La Rochelle, France, October 15–18, 2013. CEUR Workshop Proceedings, vol. 1062, pp. 249–260. CEUR-WS.org (2013)Google Scholar
- 9.Jäschke, R., Hotho, A., Schmitz, C., Ganter, B., Stumme, G.: TRIAS - an algorithm for mining iceberg tri-lattices. In: Proceedings of the 6th IEEE International Conference on Data Mining (ICDM 2006), pp. 907–911. IEEE Computer Society (2006)Google Scholar