Paper: Levente Lorand Kis, Christian Sacarea and Diana Troanca, Navigation and Exploration Tool for Polyadic FCA, Supplementary Proceedings of the 14th International Conference on Formal Concept Analysis, pp. 83 – 86, 12-16 June 2017, Rennes, France
Abstract: Formal concept analysis (FCA) is a powerful mathematical tool that allows deriving concept hierarchies from large sets of data in order to analyze data and derive meaningful information from it . FCA finds practical application in fields including data mining, text mining, machine learning, knowledge management, semantic web, software development, chemistry, biology and many more. FCA works with contexts and concept lattices derived from them. Since navigation in three-dimensional spaces is rather difficult, one method of navigation in tricontexts uses local projections and reduces the triadic contexts to multiple dyadic contexts. The purpose of this paper is to present FCA Tools Bundle, which is a collection of tools for dyadic and triadic formal concept analysis. Furthermore, in this paper, we describe the architecture of the tool and the technologies used in its implementation.
Keywords: FCA, Triadic Context, Navigation Tool, Concept Latice
Presentation: ICFCA 2017: Poster & Demo Session