A fundamental task of data analysis is comprehending what distinguishes clusters found within the data. We present the problem of mining distinguishing sets which seeks to find s...
We present a parallel version of BIRCH with the objective of enhancing the scalability without compromising on the quality of clustering. The incoming data is distributed in a cyc...
The eXtensible Markup Language (XML) was originally defined to represent Web content, but it is increasingly used to define languages, such as XPL, that are used for coding execut...
Over the past years, the reengineering of legacy software systems to object oriented platforms has received significant attention. In this paper, we present a generic re-engineeri...
In this paper we propose a new parallel clustering algorithm based on the incremental construction of the compact sets of a collection of objects. This parallel algorithm is portab...