Clustering is inherently a difficult task and is made even more difficult when the selection of relevant features is also an issue. In this paper, we propose an approach for simult...
Ubiquitous applications are facing a large diversity of execution contexts. However, this diversity requires some continual adaptation to preserve the correct execution of these ap...
Abstract. We address the problem of answering queries using expressive symmetric inter-schema constraints which allow to establish mappings between several heterogeneous informatio...
Background: Clustering is one of the most commonly used methods for discovering hidden structure in microarray gene expression data. Most current methods for clustering samples ar...
The basic nearest neighbour classifier suffers from the indiscriminate storage of all presented training instances. With a large database of instances classification response time ...