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AutoUniv (AU) is a tool for generating artificial data sets for the classification task, which mirror the characteristics of real data. This achieved by designing classification models and then generating data sets from them.
AU is freely available for use by the Machine Learning and Data Mining communities in developing and testing algorithms which learn to classify.
With AU you can design models having:
and then generate classified examples from them in the following formats:
Designed by:
Ray Hickey
Contact at ray.j.hickey@gmail.com
AU was implemented in Win-Prolog, v4.9 from Logic Programming Associates
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