Wendy Cowley

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The Universal Parsing Agent (UPA) is a document analysis and transformation program that supports massive scale conversion of information into forms suitable for the semantic web. UPA provides reusable tools to analyze text documents; identify and extract important information elements; enhance text with semantically descriptive tags; and output the(More)
A sequential pattern in data mining is a finite series of elements such as A → B → C → D where A, B, C, and D are elements of the same domain. The mining of sequential patterns is designed to find patterns of discrete events that frequently happen in the same arrangement along a timeline. Like association and clustering, the mining of sequential patterns is(More)
We introduce two dynamic visualization techniques using multidimensional scaling to analyze transient data streams such as newswires and remote sensing imagery. While the time-sensitive nature of these data streams requires immediate attention in many applications, the unpredictable and unbounded characteristics of this information can potentially overwhelm(More)
We present the Threat Stream Data Generator, an approach and tool for creating synthetic data sets for the test and evaluation of visual analytics tools and environments. We have focused on working with information analysts to understand the characteristics of threat data, to develop scenarios that will allow us to define data sets with known ground truth,(More)
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