We propose a new method for detecting patterns of anomalies in categorical datasets. We assume that anomalies are generated by some underlying process which affects only a particu...
This work addresses the need for stateful dataflow programs that can rapidly sift through huge, evolving data sets. These data-intensive applications perform complex multi-step c...
Dionysios Logothetis, Christopher Olston, Benjamin...
The Noise Sensitivity Signature (NSS), originally introduced by Grossman and Lapedes (1993), was proposed as an alternative to cross validation for selecting network complexity. I...
The UCSC Cancer Genomics Browser (https:// genome-cancer.ucsc.edu) comprises a suite of web-based tools to integrate, visualize and analyze cancer genomics and clinical data. The ...
J. Zachary Sanborn, Stephen C. Benz, Brian Craft, ...
As new semantic web standards evolve to allow quantified rules in FOL, we need new ways to capture them from end users. We show how to do this against a graphic view of entities an...