20 citations · 48 across the 24 of their papers we have counts for
6 papers · 1 filter
Towards Ordinal Data Science
Gerd Stumme, Dominik Dürrschnabel, Tom Hanika
Order is one of the main instruments to measure the relationship between objects in (empirical) data. However, compared to methods that use numerical properties of objects, the amo…
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…
Selecting Features by their Resilience to the Curse of Dimensionality
Maximilian Stubbemann, Tobias Hille, Tom Hanika
Real-world datasets are often of high dimension and effected by the curse of dimensionality. This hinders their comprehensibility and interpretability. To reduce the complexity fea…
Ordinal Motifs in Lattices
Johannes Hirth, Viktoria Horn, Gerd Stumme +1
Lattices are a commonly used structure for the representation and analysis of relational and ontological knowledge. In particular, the analysis of these requires a decomposition of…
Scaling Dimension
Bernhard Ganter, Tom Hanika, Johannes Hirth
Conceptual Scaling is a useful standard tool in Formal Concept Analysis and beyond. Its mathematical theory, as elaborated in the last chapter of the FCA monograph, still has room…
Conceptual Views on Tree Ensemble Classifiers
Tom Hanika, Johannes Hirth
Random Forests and related tree-based methods are popular for supervised learning from table based data. Apart from their ease of parallelization, their classification performance…