Distinguished Chair Professorship
in Electrical and Computer Engineering
Colorado State University
With a learning algorithm helping to secure Stanley first place in the 2005 DARPA Grand Challenge, my scanning now picks up references to learning machines such as the story from the Shorthorn. DARPA has funded a data mining project at the University of Texas – Arlington.
Note: No, that is not Stanley, nor a member of the UTA faculty, that is H.J. Siegel, unless somewhat inserted a photo of comedian George Carlin as the hippy-dippy weatherman instead.
Not only does this computer program have the capability to identify patterns, but after it perceives an interesting pattern in data represented as a graph, it then also compares that graph with more graphs, thus giving researchers a chance to compound the information and develop a ?€œpredictive model to identify emerging criminal networks.?€?
In addition to this recent DARPA grant, Diane Cook and Larry Holder of the UTA Computer Science Department have received funding from NASA, the National Science Foundation and the Texas Higher Education Coordinating Board for their work combining a graph-based representation of structural information with a substructure discovery technique. Their research has shown the SUBDUE substructure discovery system to be successful in knowledge discovery from structured and unstructured data. In addition to identifying criminal / terrorist networks or exploring space, such artificial intelligence that enables parallel knowledge discovery from large complex databases has application to better understanding of disease, economic and weather patterns. Still, a primary funding stream is because of IRIS.
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