Sharing huge, massively distributed databases in P2P systems is inherently difficult. As the amount of stored data increases, data localization techniques become no longer suffi...
Rabab Hayek, Guillaume Raschia, Patrick Valduriez,...
We consider the problem of unsupervised learning from a matrix of data vectors where in each row the observed values are randomly permuted in an unknown fashion. Such problems ari...
We address the problem of optimizing the distribution of partially replicated databases over a computer network. Replication is used to increase data availability in the presence ...
Sarah Abdul-Wahid, Razvan Andonie, Joseph Lemley, ...
We propose a distributed parallel support vector machine (DPSVM) training mechanism in a configurable network environment for distributed data mining. The basic idea is to exchange...
Situational awareness (SA) applications monitor the real world and the entities therein to support tasks such as rapid decision making, reasoning, and analysis. Raw input about unf...