Merging distributed database summaries
Mounir Bechchi, Guillaume Raschia, Noureddine Mouaddib · 2007
The database summarization system coined S aint E ti Q provides multi-resolution summaries of structured data stored into acentralized database. Summaries are computed online with a conceptual hierarchical clustering algorithm. However, most companies work in distributed legacy environments and consequently the current centralized version of S aint E ti Q is either not feasible (privacy preserving) or not desirable (resource limitations).