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Data sets with a large number of nominal variables, some with high cardinality, are becoming increasingly common and need to be explored. Unfortunately, most existing visual exploration displays are designed to handle numeric variables only. When importing data sets with nominal values into such visualization tools, most solutions to date are rather(More)
M ost first-generation expert systems have been rule-based with a separate inference engine. However , a large unstructured collection of rules clearly lacks validity as a realistic model of design because reducing all knowledge to a single form does not recognize that there are many different types of knowledge used in any design problem-solving activity.(More)
Design Expert Systems can be built using many small, cooperating, limited function expert systems called Single Function Agents. Using this approach we will be able to investigate and discover primitive problem-solving and interaction patterns, specific for multi-agent design systems, and should gain a deeper understanding of the types of knowledge(More)
We use administrative data from the IRS to examine the long-term impact of childhood Medicaid expansions. We use eligibility variation by cohort and state that we can relate to outcomes graphically. We find that children with greater Medicaid eligibility paid more in cumulative taxes by age 28. They collected less in EITC payments, and the women had higher(More)
This paper describes our experiences with the Webware, Interfaces and Networking Experimental (WINE) Laboratory. The WINE Lab was created to assist in teaching the topics of computer networks, user interfaces and webware. The goal of the lab is to provide students the opportunity to complete projects, experiment with relevant techniques and make connections(More)