Hierarchical conceptual clustering has been proven to be a useful data mining technique. Graph-based representation of structural information has been shown to be successful in kn...
This paper presents an extensible architecture that can be used to support the integration of heterogeneous biological data sets. In our architecture, a clustering approach has bee...
Michael Maibaum, Lucas Zamboulis, Galia Rimon, Chr...
To deal with the frequent, foreseeable and variable disconnections that occur in a mobile environment, we introduce a exible, two-level consistency model. Semantically related or ...
Clustering is one of the most important tasks performed in Data Mining applications. This paper presents an e cient SQL implementation of the EM algorithm to perform clustering in...