Geraldine E. Rosario

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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)
XmdvTool is a public-domain software developed at WPI for the interactive visual exploration of large-scale high-dimensional data sets [4, 1, 2, 5]. XmdvTool supports a user-driven interactive discovery process of data patterns and outliers. Our multidisciplinary approach of coupling ideas from the fields of data vi-sualization, data mining and database(More)
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