Publications (44)
Automatic Textual Explanations of Concept Lattices
Johannes Hirth, Viktoria Horn, Gerd Stumme +1
Lattices and their order diagrams are an essential tool for communicating knowledge and insights about data. This is in particular true when applying Formal Concept Analysis. Such…
Exploring Scale-Measures of Data Sets
Tom Hanika, Johannes Hirth
Measurement is a fundamental building block of numerous scientific models and their creation. This is in particular true for data driven science. Due to the high complexity and siz…
On the Lattice of Conceptual Measurements
Tom Hanika, Johannes Hirth
We present a novel approach for data set scaling based on scale-measures from formal concept analysis, i.e., continuous maps between closure systems, and derive a canonical represe…
Intrinsic Dimension of Geometric Data Sets
Tom Hanika, Friedrich Martin Schneider, Gerd Stumme
The curse of dimensionality is a phenomenon frequently observed in machine learning (ML) and knowledge discovery (KD). There is a large body of literature investigating its origin…
STADE: Standard Deviation as a Pruning Metric
Diego Coello de Portugal Mecke, Haya Alyoussef, Maximilian Stubbemann +3
Recently, Large Language Models (LLMs) have become very widespread and are used to solve a wide variety of tasks. To successfully handle these tasks, LLMs require longer training t…
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…