3 papers
cs.AI2021
Attribute Selection using Contranominal Scales
Dominik Dürrschnabel, Maren Koyda, Gerd Stumme
Formal Concept Analysis (FCA) allows to analyze binary data by deriving concepts and ordering them in lattices. One of the main goals of FCA is to enable humans to comprehend the i…
cs.DM2021
Boolean Substructures in Formal Concept Analysis
Maren Koyda, Gerd Stumme
It is known that a (concept) lattice contains an n-dimensional Boolean suborder if and only if the context contains an n-dimensional contra-nominal scale as subcontext. In this wor…
cs.AI2018
Relevant Attributes in Formal Contexts
Tom Hanika, Maren Koyda, Gerd Stumme
Computing conceptual structures, like formal concept lattices, is in the age of massive data sets a challenging task. There are various approaches to deal with this, e.g., random s…