Bloom filters for data aggregation and discovery: a hierarchical clustering approach
Peter Hebden, Adrian R. Pearce · 2005
This work addresses the data aggregation problem by tightly integrating the processes of building and maintaining distributed data structures while optimally serving queries over the network. Importantly, the approach goes beyond existing clustering techniques by addressing the incremental problem at the same time as the query problem.