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Project: Case-Based Reasoning: Rough Sets Versus Bayesian Networks
Student Researchers: Jennifer Allen, Christine Mick
Advisors: Ronald S. King, Kay Pleasant
Institution: University of Texas at Tyler
A benchmark comparative analysis for Case-Based Reasoning implemented in Rough Sets and Bayesian Networks. Rosetta, a toolkit for analyzing tabular data, will be used for the Rough Set Implementation. Auto Class C, a standard Bayesian classifier software system, will also be employed.