We propose a hybrid clustering strategy by integrating heterogeneous information sources as graphs. The hybrid clustering method is extended on the basis of modularity based Louva...
Xinhai Liu, Shi Yu, Yves Moreau, Frizo A. L. Janss...
It has been important to extend database management systems to support new requirements of applications and administration. We focus in this paper on the automatic tuning feature,...
The need for information integration is paramount in many biological disciplines, because of the large heterogeneity in both the types of data involved and in the diversity of app...
In this paper we describe the principles of the design and development of an intelligent query interface, done in the context of the SEWASIE (SEmantic Webs and AgentS in Integrate...
Classical distributed database systems monolithically offer distribution transparency and higher performance. This is made possible by making data available and closer to the appl...