Clustering, in data mining, is useful to discover distribution patterns in the underlying data. Clustering algorithms usually employ a distance metric based (e.g., euclidean) simi...
In certain reliable group-oriented and multicast applications, a source needs to securely verify whether all (and if not all, which) intended receivers have received a message. How...
Claude Castelluccia, Stanislaw Jarecki, Jihye Kim,...
We develop an adaptive load distribution protocol for logical volume I/O workload in clustered storage systems. It exploits data redundancy among decentralized storage servers to ...
Software systems are typically developed by teams of developers, with responsibilities for different parts of the code. Knowledge of how the developers collaborate, and how their ...
— In this paper, we show experimentally that learning filters are able to classify large corpora of spam and legitimate email messages with a high degree of accuracy. The corpor...