We introduce the notion of iceberg concept lattices and show their use in knowledge discovery in databases. Iceberg lattices are a conceptual clustering method, which is well suit...
Gerd Stumme, Rafik Taouil, Yves Bastide, Nicolas P...
Many risk specific concepts like “threat”, “consequence” and “risk” belong to the daily language. In a risk analysis one cannot be certain that the participants’ int...
This paper proposes a novel clustering analysis algorithm based on principal component analysis (PCA) and self-organizing maps (SOMs) for clustering the gene expression patterns. T...
We address the problem of linking observations from reality to a semantic web based knowledge base. Concepts in the biological domain are increasingly being formalized through ont...
Image classification often relies on texture characterization. Yet texture characterization has so far rarely been based on a true 2D multifractal analysis. Recently, a 2D wavelet...