Abstract. E cient data mining algorithms are crucial fore ective knowledge discovery. We present the Multi-Stream Dependency Detection (msdd) data mining algorithm that performs a ...
e some simple working environment abstractions that hide the configuration heterogeneity of the machines that compose the grid from the user. Second, we introduce Work Queue with R...
Walfredo Cirne, Daniel Paranhos da Silva, Lauro Co...
This paper addresses the issue of fault-tolerance in applications that make use of network storage. A network abstraction called the Network Storage Stack is presented, along with...
Scott Atchley, Stephen Soltesz, James S. Plank, Mi...
We present a novel approach to recognizing Textual nt. Structural features are constructed from abstract tree descriptions, which are automatically extracted from syntactic depend...
Abstract. We develop a new multi-party generalization of Naor-Nissim indirect indexing, making it possible for many participants to simulate a RAM machine with only poly-logarithmi...
Matthew K. Franklin, Mark Gondree, Payman Mohassel