Text clustering is potentially very useful for exploration of text sets that are too large to study manually. The success of such a tool depends on whether the results can be expl...
Research on understanding linear texts has shown that comprehension and navigation mainly depend on the reader’s ability to construct a coherent mental representation. While the...
This paper introduces an information theoretic approach to verification of modular causal probabilistic models. We assume systems which are gradually extended by adding new functi...
Data streams are often locally correlated, with a subset of streams exhibiting coherent patterns over a subset of time points. Subspace clustering can discover clusters of objects...
ER ABSTRACTIONS ter service uses several abstractions— including resource, resource dependencies, and resource groups—to simplify both the cluster service itself and user-visib...