In this paper, we propose a novel non-parametric clustering method based on non-parametric local shrinking. Each data point is transformed in such a way that it moves a specific ...
Text clustering methods can be used to structure large sets of text or hypertext documents. The well-known methods of text clustering, however, do not really address the special p...
Data mining became increasingly important in bioinformatics and biomedical area during last decade. Various data mining methods, such as association rule mining and clustering, ha...
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...
A Web-based business always wants to have the ability to track users’ browsing behavior history. This ability can be achieved by using Web log mining technologies. In this paper...